Measuring and Modelling Light Scattering in Paper Niklas Johansson Supervisor: Prof. Per Edström, Mid Sweden University Assistant supervisors: Dr. Mattias Andersson and Dr. Magnus Neuman, Mid Sweden University Department of Natural Sciences Mid Sweden University Doctoral Thesis No. 224 Örnsköldsvik, Sweden 2015 ISBN 978-91-88025-27-2 ISSN 1652-893X Mid Sweden University Department of Natural Sciences SE-891 18 Örnsköldsvik SWEDEN Akademisk avhandling som med tillstånd av Mittuniversitetet framlägges till offentlig granskning för avläggande av teknologie doktorsexamen torsdagen den 4 juni 2015 klockan 10:00 i Mediacenter DPC, Mittuniversitetet, Järnvägsgatan 3, Örnsköldsvik. c Niklas Johansson, 2015 Printed by Hemströms offset och boktryck, Härnösand, Sweden, 2015 Abstract This thesis is about measuring and modelling light reflected from paper by using goniophotometric measurements. Measuring bidirectional reflectance requires highly accurate instruments, and a large part of the work in this thesis is about establishing the requirements that must be fulfilled to ensure valid data. A spectral goniophotometer is used for measuring the light reflected from paper and methods are developed for analyzing the different components, i.e. the fluorescence, surface reflectance and bulk reflectance, separately. A separation of the surface and bulk reflectance is obtained by inkjet printing and analyzing the total reflectance in the absorption band of the ink. The main principle of the method is to add dye to the paper until the bulk scattered light is completely absorbed. The remaining reflectance is solely surface reflectance, which is subtracted from the total reflectance of the undyed sample to give the bulk reflectance. The results show that although the surface reflectance of a matte paper is small in comparison with the bulk reflectance, it grows rapidly with increasing viewing angle, and can have a large influence on the overall reflectance. A method for quantitative fluorescence measurements is developed, and used for analyzing the angular distribution of the fluoresced light. The long-standing issue whether fluorescence from turbid (or amorphous) media is Lambertian or not, is resolved by using both angle-resolved luminescence measurements and radiative transfer based Monte Carlo simulations. It is concluded that the degree of anisotropy of the fluoresced light is related to the average depth of emission, which in turn depends on factors such as concentration of fluorophores, angle of incident light and the absorption coefficient at the excitation wavelength. All measurements are conducted with a commercially available benchtop sized double-beam spectral goniophotometer designed for laboratory use. To obtain reliable results, its absolute measurement capability is evaluated in terms of measurement accuracy. The results show that the compact size of the instrument, combined with the anisotropic nature of reflectance from paper, can introduce significant systematic errors of the same order as the overall measurement uncertainty. The errors are related to the relatively large detection solid angle that is required when measuring diffusely reflecting materials. Situations where the errors are most severe, oblique viewing angles and samples with high degree of anisotropic scattering, are identified, and a geometrical correction is developed. Estimating optical properties of a material from bidirectional measurements has proved to be a challenging problem and the outcome is highly dependent on both the quality and quantity of the measurements. This problem is analyzed in detail for optically thick turbid media, targeting the case when a restricted set of detection angles are available. Simulations show that the measurements can be restricted to the plane of incidence (in-plane), and even the forward direction only, without any significant reduction in the precision or stability of the estimation, as long as sufficiently oblique angles are included. i Sammanfattning Avhandlingen behandlar de teoretiska och praktiska aspekterna av att använda spektrala vinkelupplösta reflektansmätningar för optisk karakterisering av fiberbaserade material såsom papper och kartong. En spektral goniofotometer används för att mäta det reflekterade ljusets vinkelfördelning. En stor del av arbetet utgörs av att utvärdera instrumentets noggrannhet, samt utreda hur de vinkelupplösta mätningarna skall utföras på bästa sätt för att erhålla en så fullständig karakterisering som möjligt. Det reflekterade ljuset består av tre komponenter; ytreflektans, bulkreflektans samt fluorescens. En fullständig karakterisering förutsätter att dessa tre komponenter kan analyseras separat, vilket i detta arbete görs genom nyutvecklade metoder. En metod har utvecklats för separation av ytreflektans och bulkreflektans. Metoden bygger på att analysera hur den totala reflektansen förändras vid ökande absorption i det reflekterande materialet. Absorptionen kontrolleras genom inkjettryckning där tryckfärg appliceras på substratet i sådan mängd att bulkreflektansen helt släcks ut. Genom att kombinera mätningar på tryckt och otryckt substrat kan de båda komponenterna separeras. Trots att ytreflektansen från ett matt papper är liten i förhållande till bulkreflektansen, så visar resultaten att den ökar markant med ökande betraktningsvinkel och kan därmed ha stor inverkan på den totala reflektansen. Bidraget från fluorescens kan kvantitativt analyseras genom att kombinera mätningar utförda med respektive utan UV-filter. Vinkelupplösta mätningar och Monte Carlo-simuleringar av fluorescensens vinkelfördelning visar att dess anisotropi är relaterad till det medeldjup vid vilket fluorescensen emitteras. Resultaten förklarar observerade skillnader och motstridigheter i tidigare studier kring huruvida fluorescens kan anses vara Lamberskt fördelad. Samtliga goniofotometriska mätningar är utförda med ett kompakt, kommersiellt tillgängligt, dubbelstråleinstrument. För att undersöka instrumentets lämplighet för absoluta reflektansmätningar utförs en analys av dess mätnoggrannhet. Resultaten visar att instrumentets kompakta storlek i kombination med anisotrop reflektans från papper introducerar systematiska fel av samma storleksordning som den totala mätnoggrannheten. Dessa fel uppstår på grund av den relativt stora detektorapertur som måste användas vid mätningar av diffus reflektans, vilket är karakteristiskt för papper och kartong. Resultaten visar även att felen är störst vid flacka mätvinklar och för prover med hög grad av anisotropisk reflektans, och en geometrisk korrektionsmetod för denna typ av systematiska fel föreslås. Spektrala och vinkelupplösta mätningar medför per automatik stora mängder mätdata. Genom att använda strålningstransportteori som en matematisk modell för hur ljus sprids i papper kan mätdatat reduceras till en uppsättning beskrivande materialparameterar. Att uppskatta dessa optiska parametrar utifrån vinkelupplösta reflektansmätningar är i sig ett komplicerat problem, vilket dessutom är känsligt för mätfel och val av mätvinklar. Detta inversa problem analyseras i detalj, och specifikt hur valet av mätvinklar kan reduceras utan att försämra förutsättningarna för estimeringen. Simuleringar visar att mätningarna kan begränsas till infallsplanet, eller till och med enbart framåtriktningen, så länge tillräckligt flacka mätvinklar är inkluderade i mätsekvensen. ii Acknowledgements First of all, I would like to thank my supervisors Per Edström, Mattias Andersson and Magnus Neuman for their support and encouragement throughout the work. It is always a pleasure to see true professionals at work, and even better to have the favour to work with them. Apart from their supporting roles, I would also like to thank them for creating a relaxed, easy-going atmosphere with lots of shared jokes and laughters. My colleagues in Örnsköldsvik and Härnösand are also thanked. Thomas Öhlund and Ole Norberg are thanked for stimulating discussions and for keeping me company during several late hours at the office. Ludovic Gustafsson Coppel is thanked for successful cooperation, and for being a reliable colleague and friend. I would also like to thank Prof. Sverker Edvardsson for teaching interesting courses at the end of my doctoral studies. This work has been performed in close cooperation with several industrial partners; Metsä Board Husum, MoRe Research AB, Imerys Mineral Limited, Lorentzen & Wettre AB and Knightec AB are thanked for the support and expertise they have provided throughout the work. A special thanks goes to Henry Westin for valuable input and for showing a genuine interest in my work. During my doctoral studies I have also come in contact with several universities and research institutes, and special thanks are directed to Dr. Réjean Baribeau at the National Research Council of Canada and Dr. Markku Hauta-Kasari at the InFotonics Center in Joensuu. I would also like to thank Dr. Daniel Nyström for helping me win the Cactus Award in 2012. The Knowledge Foundation (KK-stiftelsen), the Kempe foundations, Länsstyrelsen Västernorrland and the Swedish Agency for Economic and Regional Growth (Tillväxtverket) are gratefully acknowledged for their financial support. Finally, I would like to thank my family; Maria, Lukas, Elias and Gustav for constantly reminding me of what’s most important in my life. iii Contents Abstract i Sammanfattning ii Acknowledgements iii List of papers vi 1 Introduction 1 1.1 2 Aim of the thesis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Light scattering in paper 2 3 Goniophotometric measurements 4 3.1 Instrumentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 3.2 Measuring the BRDF . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 3.3 Measurement uncertainty in BRDF measurements . . . . . . . . . . . . 11 4 5 Radiative transfer theory 12 4.1 The radiative transfer equation . . . . . . . . . . . . . . . . . . . . . . . 14 4.2 The phase function . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 4.3 The forward and inverse problem . . . . . . . . . . . . . . . . . . . . . . 18 Summary of the papers and contribution of the thesis 20 5.1 Paper I . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 5.2 Paper II . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 5.3 Paper III . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 5.4 Paper IV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 5.5 Paper V . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 6 Discussion 26 7 Future work 27 8 Conclusions 28 iv References 29 v List of papers The thesis consists of the following papers, herein referred to by their respective Roman numerals: I N. Johansson, M. Neuman, M. Andersson and P. Edström, “The influence of finite sized detection solid angle on bidirectional reflectance distribution function measurements,” Applied Optics 53(6), p. 1212–1220 (2014). Selected for publication in Virtual Journal of Biomedical Optics, 9(4). II N. Johansson, M. Neuman, M. Andersson and P. Edström, “Separation of surface and bulk reflectance by absorption of bulk scattered light,” Applied Optics 52(19), p. 4749–4754 (2013). Selected for publication in Virtual Journal of Biomedical Optics, 8(8). III N. Johansson and M. Andersson, “Angular variations of reflectance and fluorescence from paper - the influence of fluorescent whitening agents and fillers,” in Proc. 20th Color and Imaging Conference, Los Angeles, USA, p. 236–241 (2012). IV L. G. Coppel, N. Johansson and M. Neuman, “Angular dependence of fluorescence from turbid media,” manuscript submitted to Optical Express (2015). V N. Johansson, M. Neuman, M. Andersson and P. Edström, “The inverse radiative transfer problem - considerations for optically thick media,” manuscript submitted to Inverse Problems in Science and Engineering (2015). vi 1 Introduction 1 Introduction To be able to accurately determine the reflectance characteristics of an object is of great importance in many fields. Apart from determining color and appearance attributes of objects, the information can also be used for such diverse purposes as restoration and conservation of art and for detection of cancer tumours. A complete characterization involves measuring both the spectral and angular distribution of the reflected light. The angular distribution is for most materials determined almost exclusively by the surface characteristics of the object. Paper however, can be classified as a turbid medium, where the angular distribution of the reflected light is governed to a large extent by the light scattering that takes place within the bulk of the object, from here on referred to as bulk reflectance. Within the paper industry, reflectance is measured according to well defined standards [1], and with instruments that are accurately calibrated against traceable reflectance standards. In the standardized measurement geometry, the detection angle is fixed. The sample is diffusely illuminated and the reflected light is measured at 0◦ , i.e. in a direction perpendicular to the surface of the sample. It has however been shown that the bulk reflectance from paper is anisotropic [2, 3], where the intensity of reflected light depends on both the angle of incidence and the viewing angle. In order to capture these variations, and obtain a more comprehensive characterization of the reflectance from paper, angle resolved measurements are required. This type of characterization requires measurements with a spectral goniophotometer, an instrument that can perform spectrally resolved measurements of light reflected or transmitted in different directions for different angles of incidence, i.e bidirectional measurements. Angle resolved reflectance and transmittance measurements are of interest in many scientific fields, particularly when studying light scattering in turbid media, such as paper [3–5] or biological tissue [6,7]. Goniophotometric measurements are also required when characterizing gonio-apparent materials, i.e. materials that exhibit a shift in color depending on the illumination and viewing angle [8, 9], such as coatings with pearlescent or metallic pigments used within the automotive and packaging industry [10]. The intensity and angular distribution of the reflected light depends on several factors, and specifically on the optical properties of the object. The bulk reflectance can be modelled with radiative transfer (RT) theory, that describes how light propagates in turbid media. RT models can therefore be used to simulate the optical response of a turbid medium, often in terms of its bidirectional reflectance distribution function (BRDF), for any illumination and viewing condition, provided that the optical parameters of the medium are known. These can in turn be estimated from bidirectional reflectance measurements, by solving the so called inverse RT problem. Apart from paper technology applications, modelling light scattering in turbid media is also of great interest in computer graphics in order to obtain realistic rendering of complex materials under different viewing conditions. It is also frequently used in such diverse fields as optical tomography [11–13] and atmospheric science [14]. This thesis is about utilizing spectral goniophotometry for optical characteriza1 Measuring and modelling light scattering in paper tion of paper. Paper I deals with the reliability and expected accuracy of this type of measurements on paper, and contains both theoretical and experimental elements. In paper II and III, measurement methods are developed for analyzing the surface reflectance, bulk reflectance and fluorescence separately. The angular distribution of the fluorescence is investigated in more detail in paper IV. Finally, paper V targets the inverse problem, and specifically how it is affected by the choice of measurement angles. 1.1 Aim of the thesis The overall aim of the thesis is to investigate how bidirectional reflectance measurements can be used to increase the understanding of how light is reflected from paper, and how the measurements should be performed to ensure valid data. This aim is approached through three specific targets. The first is to investigate the applicability of a compact benchtop sized goniophotometer for reflectance measurements of paper, in terms of accuracy in absolute measurements. This study focuses on quantifying measurement errors related to the relatively large detection solid angle that is required when measuring diffusely reflecting materials. The second is to develop measurement methods for separating light radiated from a paper into its surface reflectance, bulk reflectance and fluorescence components, which opens up new ways of analyzing how surface treatments, filler pigments and fluorescent whitening agents affect the optical response of paper. Finally, the third is to establish how the measurement sequence should be designed in order to provide proper data for the inverse problem. 2 Light scattering in paper This section is intended to give a brief description of the different components involved in light scattering in paper. For a comprehensive description of paper optics and details of how different fibres, additives and stages in the manufacturing process affect the optical properties, the textbook by Pauler can be recommended [15]. Figure 1 shows a simplified illustration of the different sources of scattering and luminescence in paper. The origin of the light scattered from paper can either be the bulk of the paper or the surface of the paper, as illustrated in Figure 1. An important component that is not shown explicitly in the figure is the pores of the paper, which contribute significantly to the scattering. Surface reflectance is light reflected directly at the interface between the surrounding medium (air) and the substrate. Since the light has not interacted with the bulk, its spectral content remains unaltered. Bulk reflectance consists of light that penetrates into the bulk of the paper, and after multiple scattering events inside the material, is eventually reflected back through the top surface. The last component is fluorescence, caused by the interaction of light and fluorophores added to the paper. Filler pigments are added mainly in order to increase the light scattering in the paper, and thereby the opacity. Fluorescent 2 2 Light scattering in paper Fluorescence Surface refl. Bulk refl. FWA Filler pigments Figure 1: The different origins of light reflected or fluoresced from paper. The bulk reflectance consists of light scattered from fibres, filler pigments and pores, whereas fluorescence is caused by light interacting with fluorescent whitening agents (FWA). whitening agents (FWA) are added to increase the whiteness of the paper. The fluorophores absorb light in the UV-region of the spectrum and emits in the blue part, thereby compensating for the yellowness inherent in the plain paper. The light detected during reflectance measurements normally contains all three components, and it is often of interest to study them separately. The fluorescence can be removed by using UV-blocking filters, but separating the total reflectance into a surface and bulk component is a more difficult task. Separating them is of interest in several scientific fields, such as optical coatings and paper industry [16, 17], conservation of art [18] and biomedical science [19]. Matte paper , that can be described as a dielectric with anisotropic bulk scattering and often a rough surface, is an example of a material were a separation is difficult to obtain with existing methods. Methods solely based on changes in the polarization state of the reflected light are not applicable on this type of materials, which has been reported in several studies [20–23]. More refined ellipsometric techniques [24, 25], such as angle-resolved ellipsometry perform better, but becomes increasingly complex when analyzing highly scattering materials with significant surface roughness [26–29]. For these reasons, an alternative method has been developed and is presented in Paper II. A major part of this thesis is about developing methods for measuring the angular distribution of the different reflectance and luminescence components. The modelling has however been focused on bulk scattering, described in detail in Section 4. Although not used in this thesis, it might still be instructive to give a brief review 3 Measuring and modelling light scattering in paper of methods to model the surface reflectance as well. For perfectly flat surfaces, the surface component can be modelled by Fresnel’s equations. As the roughness of the surface increases, other approaches are needed. In the Torrance-Sparrow model [30], the surface is being modelled as a composition of small, perfectly reflecting tilted facets. By incorporating shadowing effects, where the incident light does not reach parts of the surface, and masking effects, where a part of the reflected light does not reach the viewer, the agreement between measured and simulated reflectance is improved. These improvements are most significant at grazing viewing angles where effects such as off-specular maxima are present. The Torrance-Sparrow model has been the subject of further development and several variants have been presented throughout the years [31–34]. A prerequisite for all these models is that the wavelength of the incident light is small in comparison with the dimensions of the surface roughness, i.e. that geometrical optics is applicable. As the dimensions approach the wavelength of the incident light, models where the light is treated as an electromagnetic wave, i.e. physical optics, must be used. Most of these wave scattering models [35,36] are based on the work by Beckmann and Spizzichino [37]. A comparison of different surface models and their pros and cons can be found in the work by Nayar et al. [38] and Westin et al. [39] 3 Goniophotometric measurements ...nobody will object to an ardent experimentalist boasting of his measurements and rather looking down on the ”paper and ink” physics of his theoretical friend, who on his own part is proud of his lofty ideas and despises the dirty fingers of the other. Max Born This section gives a description of spectral goniophotometry as a method to assess the spectral and angular distribution of the reflected light. An overview of different types of instruments is given in Section 3.1, together with a description of the instrument used in this thesis. A detailed derivation of the bidirectional reflectance distribution function (BRDF), which is defined in radiometric quantities, from the measurement signals and instrument parameters, is given in Section 3.2. Bidirectional reflectance, where both the incident and reflected light is contained within infinitesimally small solid angles, is defined as a ratio between two differential quantities. It can therefore only be measured approximately, and the necessary approximations are described in detail. For practical purposes, BRDF measurements are usually performed relative to a calibrated reflectance standard, i.e. relative measurements, as opposed to absolute measurements where the BRDF is assessed directly in terms of reflectance or radiance measurements and no reference standard is required. Relative measurements have the advantage that the reliability in reported values increases due to the traceability of the reference standard. The calibration procedure does however become more complex due to the increased degrees of freedom in measurement geometry. 4 3 Goniophotometric measurements Measurement errors are in most cases dependent on the geometry used and a single calibration geometry is simply not enough to ensure reliable results, as opposed to standardized methods with fixed geometry. The obvious disadvantage with absolute measurements is that the measurement parameters need to be known with high accuracy since they are required in order to convert measured quantities into BRDF values. Section 3.3 gives a detailed description of how to estimate the measurement uncertainty for a double-beam instrument. 3.1 Instrumentation Spectral goniophotometers can roughly be divided into two categories; scanning and imaging devices, where scanning devices in general are more accurate but slower than imaging devices. For scanning instruments [8, 40–48] the measurements at different viewing angles are taken one by one in a sequence. The most common configurations are to use broadband illumination and a wavelength dispersive detector, e.g. spectroradiometer, or the opposite, broadband illumination passing through a monochromator and a broadband detector. The high accuracy does however come at the cost of longer measurement times. Scanning instruments can in turn be divided into two categories; large accurate reference instruments at metrology institutes, and commercially available compact benchtop sized instruments. The prevailing method for the first category is to utilize a spectral radiometer to measure the reflected radiance directly, as well as the incident irradiance from the light source [40, 41]. For the latter category, double-beam spectrophotometers are often used [49], where the measurement signal consists of the ratio between the incident and reflected power, and this is the type of instrument that has been used in this thesis. For faster measurements, camera-based systems where multiple angles can be detected simultaneously have become more common, particularly within the field of computer graphics. In general, camera based systems have a lower accuracy in terms of spectral resolution and dynamic range. The lower dynamic range of imaging sensors can however be improved by making use of HDR cameras [50], which also reduces the acquisition time. The dynamic range and spectral resolution can also be improved by combining different detectors such as multispectral cameras and spectroradiometers [51]. A schematic illustration of the instrument used in this thesis is given in Figure 2. The instrument is a Perkin Elmer Lambda 1050 spectrophotometer equipped with an ARTA goniophotometer accessory from OMT Solutions BV [49]. The spectrophotometer is equipped with two light sources, a tungsten halogen light bulb for VIS and a deuterium lamp for UV. Monochromatic light is obtained by letting the light pass through double holographic grating monochromator, where one grating is for UV/VIS and the other for NIR. The beam splitting is obtained by a chopper module, and the sample beam is then guided via a system of mirrors into the sample compartment of the goniophotometer, whereas the reference beam is guided via an optical fibre bundle directly to the detector. 5 Measuring and modelling light scattering in paper spectrophotometer goniometer optical fiber bundle detector reference beam monochromator chopper module Φr sample beam θi Φi θr sample rotational axis light source Figure 2: Schematic illustration of the double-beam spectral goniophotometer used in this thesis. The beam splitting enables simultaneous measurement of the incident (Φi ) and reflected (Φr ) power. The goniometer module (illustrated as a top view) makes it possible to change both the angle of incidence θi and detection angle θr , independently of each other. The sample is placed on a motorized rotation stage, and the angle of the incident light is varied by rotating the sample. The reflected light is detected with an integrating sphere detector equipped with a photomultiplier tube for UV/VIS and an InGaAs detector for NIR. The sphere is mounted on a second motorized rotation stage, allowing the detector to be positioned at any angle relative the normal of the sample surface. The detection solid angle is varied by adjusting the width of the detector aperture, and the size of the illuminated spot is adjusted by a beam mask and by altering the width of the exit slit of the monochromator. 3.2 Measuring the BRDF Bidirectional reflectance measurements are often presented in terms of the BRDF, which in turn is defined in terms of radiometric quantities. In this section the relationship between radiometric quantities and measured quantities in terms of reflectance is given. Although the procedure is fairly straightforward it might appear confusing at a first glance, or to quote William L Wolfe [52]: ”Radiometry appears to be a simple subject, and the basics are indeed uncomplicated. The devil is in the details.”. For a more comprehensive review of radiometry, the textbooks by Wolfe [52] and Palmer and Grant [53] can be recommended. The defining equation for the BRDF is [54] fr (θi , φi , θr , φr ) = dLr (θi , φi , θr , φr ) , dEi (θi , φi ) (1) where dLr (θi , φi , θr , φr ) is the differential radiance reflected in the direction (θr , φr ) 6 3 Goniophotometric measurements Quantity Radiant energy Definition - Symbol Q Unit [J] Radiant flux, power dQ dt Φ [W] Radiant intensity dΦ dω I [W · sr−1 ] Irradiance dΦ dAi E [W · m−2 ] Radiant exitance dΦ dAi M [W · m−2 ] d2 Φ dAi cos θdω L [W · sr−1 · m−2 ] Radiance Table 1: Basic radiometric quantities. The defining angles are described in Figure 3. The difference between irradiance and radiant exitance is that the former is defined for radiant flux incident on a surface dAi , and the latter for flux emitted or reflected from a surface. The radiance is defined in terms of projected area dAi cos θ, which is illustrated in Figure 4. and differential solid angle dωr , originating from the differential irradiance dEi impinging on area element dAi from a direction (θi , φi ), see Figure 3. The definitions of the different radiometric quantities are given in Table 1. A measurement situation inevitably involves finite detector apertures and finite size of illuminated area, and the measured BRDF is therefore an approximation of the differential form. A detailed description of how the measured BRDF differs from the strictly theoretical is given below. Non-directional illumination The BRDF is defined for directional illumination, which implies that the incident light beam must be perfectly collimated. The solid angle ωi through which each surface element of the illuminated area receives flux is then infinitesimal. In practice this is impossible to obtain and the light beam is either slightly diverging or converging. The differential reflected radiance dLr (θi , φi , θr , φr ) is therefore approximated by the total radiance reflected by a surface element dAi , into the direction (θr , φr ), given by: Z dLr (θi , φi ; θr , φr ; Ei ) (2) Lr (θr , φr ) = ωi where ωi is the illumination solid angle defined by the cross section of the beam and the distance between light source and sample plane. The dependence on the irradiance, via the BRDF, is indicated by the last argument. Substituting Eq. (1) into 7 Measuring and modelling light scattering in paper Z dωi dωr θi θr φi Y dAi φr X Figure 3: Defining angles for bidirectional reflectance. Light incident from (θi , φi ) contained within the differential solid angle dωi is reflected from a surface element dAi along the direction (θr , φr ) and into the differential solid angle dωr . Eq. (2) gives us Z Z Lr = fr (θi , φi , θr , φr )dEi = fr (θi , φi , θr , φr ) dEi = fr (θi , φi , θr , φr )Ei , (3) ωi ωi assuming that fr is constant over ωi . The BRDF is then given by fr (θi , φi , θr , φr ) = Lr (θi , φi , θr , φr ) , Ei (θi , φi ) (4) which is the defining equation for the radiance coefficient q = Lr /Ei , a more general quantity defined for any kind of illumination geometry. We are simply approximating the BRDF with the measured radiance coefficient for non-directional illumination defined by the illumination solid angle ωi . Finite sized areas The BRDF is defined as the ratio between the radiance reflected or emitted from a surface element and the irradiance on the same surface element. A BRDF-measurement involves measuring the flux reflected into a detection solid angle, which in the simplest case is directly defined by the detector aperture. The corresponding radiance incident on the detector Ld is then equal to the reflected (or emitted) radiance Lr according to the radiance invariance principle, see Figure 4. For double-beam instruments, the BRDF is measured as the ratio between incident 8 3 Goniophotometric measurements dAd n̂d n̂i dAd cos θd θd θr dωd dωs dAi dAi cos θr Figure 4: The radiance invariance principle states that the radiance emitted from surface element dAi into solid angle dωd equals the radiance received by area dAd contained within solid angle dωs , assuming a lossless medium between the two surfaces. power Φi and reflected power Φr . In order to express the BRDF in terms of measured quantities, the specific measurement configuration regarding the relationship between illuminated area Ai and detected area Af has to be taken into account. Figure 5 shows the two configurations most often encountered; Ai always smaller and within Af , and the opposite, Af always smaller and within Ai . In both cases, the irradiance is given by: Φi cos θi Φi = , (5) Ei = Ai As where As = Ai cos θi is the size of the illuminated area at normal incidence and the differential areas and fluxes have been replaced with their finite counterparts. For the first case, illustrated in Figure 5(a) for θr = 0, the reflected radiance Lr is given by: Φr Φr Φr r 2 Lr = Ld = = , (6) = Ad cos θd Ωf Ad cos θd ω Ad cos θd Ai cos θr where we have replaced the solid angle Ωf , defined by the detectors field of view, with the solid angle ω = Ai cos θr /r2 , since this is the effective solid angle through which the detector receives flux. The angle θd is defined in Figure 4 and is equal to zero in Figure 5. The BRDF is then, omitting the angular dependence for clarity, given by fr = Φr r2 As cos θi Φr r2 Lr = = . Ei Φi Ad cos θd As cos θi cos θr Φi Ad cos θr cos θd (7) 9 Measuring and modelling light scattering in paper Ad Ad As ωd As Ωf ω Ai Ai Af (a) Detected area larger than illuminated area As Ad As Ad ωi Ωf Ai Ωf Af Ai Af (b) Illuminated area larger than detected area Figure 5: The two most common configurations in BRDF measurements are illustrated in (a), where the entire illuminated area Ai is within the detectors field of view Ωf , and in (b) where Ai is larger than the area Af covered by the detector. For this configuration, the BRDF does not explicitly depend on the angle of incidence. For an increasing angle of incidence, the incident flux is distributed over a larger area, and the irradiance decreases accordingly. This decrease is automatically taken into account in the expression for the BRDF, provided that the entire illuminated area is within the detectors field of view for all viewing angles and angles of incidence. For the second configuration, illustrated in Figure 5(b), Lr is given by: Lr = Ld = Φr r 2 Φr = , Ad cos θd Ωf Ad cos θd Af cos θr (8) which gives us fr = Lr Φr r2 As = · · . Ei Φi Ad cos θr cos θd Af cos θi (9) The decrease in irradiance is compensated for by the ratio between illuminated and 10 3 Goniophotometric measurements detected area in the last term. It should be noted that the detected area Af is also dependent on the viewing angle as it becomes larger with increasing θr . In this work, measurements are always conducted according to the first configuration displayed in Figure 5(a). The detector aperture is always perpendicular to the position vector between the center of the sample surface and the center of the detector aperture, and substituting θd = 0 into Eq. (7), we finally get the following expression for the BRDF fr = r2 Φr . Φi cos θr Ad (10) Sometimes the cos θr term is dropped from the definition, which results in the so called cosine-corrected BRDF. A more accurate expression, that takes the radiative transfer between two finite surfaces into account, can be obtained by performing the geometric correction described in Paper I. 3.3 Measurement uncertainty in BRDF measurements In this section, the combined standard uncertainty of BRDF measurements with a double-beam instrument is derived. The analysis is given for a setup were the entire illuminated area is within the detectors field of view and where the measured quantity is reflectance. The measurement signal V (λ) at certain wavelength λ is determined by the detectors responsivity function ℜ(λ) according to V (λ) = Φ(λ)ℜ(λ). For a double-beam instrument where the same detector is used for measuring both the incident and reflected flux, and where the wavelength of the incident light is equal to the wavelength of the detected light, the detector responsivities are equal and the measured reflectance equals ρ = Φr /Φi = Vr /Vi . Possible changes in responsivity due to changes in polarization state etc. are assumed to be negligible. From Eq. (10), the BRDF is then given by fr (θi , φi ; θr , φr ) = Vr ℜi r2 r2 · · =ρ· . Vi ℜr Ad · cos θr Ad · cos θr (11) Following the procedure recommended by the Joint Committee for Guides in Metrology (JCGM) in [55], the combined standard uncertainty uc (fr ) of the BRDF is 2 u2c (fr ) = ∂fr ∂ρ + ∂fr ∂ cos θr u2 (ρ) + 2 ∂fr ∂r 2 u2 (cos θr ) , u2 (r) + ∂fr ∂Ad 2 u2 (Ad ) (12) 11 Measuring and modelling light scattering in paper where the partial derivatives are given by ∂fr r2 = ∂ρ Ad cos θr , ρr2 ∂fr =− 2 ∂Ad Ad cos θr 2ρr ∂fr = ∂r Ad cos θr , ∂fr ρr2 =− 2 ∂ cos θr Ad (cos θr ) The relative combined standard uncertainty uc (fr )/fr is then given by uc (fr ) fr 2 = u(ρ) ρ 2 + 2u(r) r 2 + u(Ad ) Ad 2 + u(cos θr ) cos θr 2 (13) By introducing g = cos(θr ), the standard uncertainty of the cosine of the viewing angle is given by u(cos θr ) = u(g) = u(θr ) · dg (θr ) = u(θr ) · sin(θr ) . dθr (14) Using Eq. (14) in Eq. (13), we can finally write the relative combined standard uncertainty as uc (fr ) fr 2 = u(ρ) ρ 2 + 2u(r) r 2 + u(Ad ) Ad 2 2 + (u(θr ) tan θr ) . (15) Note that the measurement uncertainty depends on tan θr . The error due to angular misalignment increases rapidly as the viewing angle increases, and is one of the reasons why BRDF measurements at grazing angles are often less accurate. The uncertainty in reflectance u(ρ) depends in turn on components such as repeatability, detector nonlinearity, stray light and so on. These components have been estimated in paper I. For a more accurate error budget, the accuracy of the measurement signals Vr and Vi must be estimated separately, and accuracy of neutral density filters etc. must be taken into account [56]. 4 Radiative transfer theory Radiative transfer (RT) theory is a transport theory that can be used to describe how light propagates in a scattering and absorbing homogeneous medium. In this work we model a medium whose optical properties do not vary with spatial coordinates, and we use the Henyey-Greenstein phase function to describe the single-scattering process. This phase function relates the scattering distribution to the relative scattering angle only, i.e. to the angle between incoming and outgoing direction, and not to the absolute directions of the incident and outgoing light, as illustrated in Figure 6. 12 4 Radiative transfer theory Scattering particle Ii Is Figure 6: The optical properties do not vary with spatial coordinates, and the scattering distribution depends on the relative scattering angle only. This means that the scattering distribution looks the same everywhere in the medium and does not depend on absolute direction of incident light. The asymmetry factor g of the phase function (here Henyey-Greenstein) determines the ellipticity of the scattering distribution. Compared to other popular theories for light scattering, RT positions it self in the mid range in terms of both explanatory power and complexity. Approximations of RT theory are often encountered, such as Kubelka-Munk and diffusion theory (DT), which are frequently used in paper technology and optical tomography respectively. Although widely used and sufficiently accurate in many applications, they cannot resolve the asymmetry factor and therefore fail in predicting anisotropic scattering. Furthermore, these methods are in principle only valid for normal incidence and when the scattering coefficient is much larger than the absorption coefficient. The main benefit with these approximations is that they can be solved analytically, which makes e.g. the inverse problem trivial. RT treats the light as a bundle of rays and cannot explain polarization and interference effects since it does not take the wave nature of light into account. A rigorous treatment of scattering of electromagnetic waves involves solving Maxwell’s equations for a certain configuration of particles, and a direct approach of obtaining an analytical solution quickly becomes intractable as the number of particles increases and multiple scattering needs to be taken into account. Several numerical methods for solving Maxwell’s equations for more complex situations have been developed, such as the T-matrix method [57] and the discrete dipole approximation (DDA) [58]. An overview of the most frequently used methods and DDA in particular is given by Kahnert [59] and Yurkin and Hoekstra [60] respectively. RT theory has until quite recently been regarded as a phenomenological approach to describe scattering of electromagnetic waves. Substantial effort has been put into 13 Measuring and modelling light scattering in paper deriving it from first principles, such as Preisendorfer’s attempts to connect this phenomenological ”island” with the ”mainland” of physics [61]. By the work of Mishchenko [62–65] this connection was finally established when he showed that RT can be derived from Maxwells equations, provided that a set of specific conditions are fulfilled. These conditions can be regarded as being fulfilled when modelling light scattering in paper with RT theory [66]. Within the RT framework, light propagation is described by a single equation, the radiative transfer equation, which is described in the next section. 4.1 The radiative transfer equation Before we continue with the derivation of the radiative transfer equation (RTE), it might be worthwhile to emphasize some differences in nomenclature between RT and radiometry. Within RT, intensity is equivalent to the radiometric quantity radiance, whereas flux corresponds to the radiometric quantities irradiance and radiant exitance. The intensity per unit frequency interval is often denoted specific intensity. Depending on discipline, the term ”specific” might however refer to some other unit, and extra care must therefore be taken to avoid confusion. The radiative transfer in a plane-parallel geometry, i.e a slab geometry, is illustrated in Figure 7(a). The horizontal extension of the medium is much larger than the vertical extension (i.e the thickness), and boundary effects at the sides of the medium can therefore be ignored. The figure shows light with intensity I propagating in a plane-parallel medium of thickness d with scattering coefficient σs and absorption coefficient σa . At depth z = z ′ , the reduction in intensity when travelling a distance ds in the direction Ω is given by: Z σs ds I(z, Ω′ )p(Ω′ , Ω)dΩ′ , (16) dI(z, Ω) = −(σa + σs )I(z, Ω)ds + 4π 4π where p(Ω′ , Ω) is the phase function that gives the probability of scattering from direction Ω′ to the direction Ω. The different components contributing to the change in intensity are illustrated in Figure 7(b), where the radiative transfer within a small volume element is shown. The first component on the right hand side of Equation (16) is the reduction in intensity I(z, Ω) due to absorption and ”out-scattering”, i.e scattering away from the direction of propagation (red arrows). The integral term sums up the positive ”inscattering” contributions (blue arrows) from light travelling in all possible directions Ω′ (including Ω) that is being scattered into the the direction of propagation. By using dz = ds · u, where u = cos θ, the RTE can then finally be written as Z σs dI(z, Ω) = −(σa + σs )I(z, Ω) + I(z, Ω′ )p(Ω′ , Ω)dΩ′ . (17) u dz 4π 4π An alternative representation is obtained by introducing a new coordinate, the dimensionless optical depth τ (z), defined as Z ∞ τ (z) = (σa + σs )dz ′ , (18) z 14 4 Radiative transfer theory Ω z=d I τ (z) θ ds dz I(z, Ω′ ) I(z, Ω) z z=0 ds τ (b) RT in a small volume element (a) Plane-parallel geometry Figure 7: For radiative transfer in a plane-parallel geometry (a), the intensity depends only on the depth z, or alternatively the optical thickness τ . The different scattering terms in the RTE are illustrated in (b) and illustrated in Figure 7(a). The upper bound of the integral is set to infinity mostly for historical reasons, reflecting its origin in studies of semi-infinite atmospheric layers. For our case, with a well-defined layer, the physical thickness d is a more natural upper bound. The optical depth is then zero at the top of the substrate (z = d) and equal to the optical thickness τ = τ (0) = (σa + σs )d at the bottom of the substrate. Using dτ = −(σa + σs )dz, where the minus sign comes from the fact that τ and z increase in opposite directions, the RTE takes the form [67] u dI(τ, u, φ) σs 1 = I(τ, u, φ) − dτ 4π σs + σa Z2π Z1 p(u′ , φ′ ; u, φ)I(τ, u′ , φ′ )du′ dφ′ , (19) 0 −1 The RTE is then expressed in the dimensionless quantities optical thickness τ and single scattering albedo a, defined as a= σs . σs + σa (20) The mean free path, i.e. the average distance between an absorption or scattering event is given by le = 1/σe , where σe = σs + σa is the extinction coefficient. For most cases, the RT problem is also expressed in terms of a third parameter, namely the asymmetry factor g of the phase function, which is described in the next section. 4.2 The phase function In RT, the angular distribution of the scattered light is described by introducing a phase function p(u′ , φ′ ; u, φ), giving the probability of scattering from direction (u′ , φ′ ) to the direction (u, φ). In most cases the actual phase function is difficult 15 Measuring and modelling light scattering in paper 100 10 p(Θ) u s p g = 0.95 g = 0.8 g = 0.45 g=0 90 1.5 60 120 1 150 30 0.5 1 180 0 0.1 210 0.01 330 240 0.001 -180 -90 0 Θ [◦ ] 90 (a) Henyey-Greenstein phase function 300 270 180 (b) Rayleigh phase function Figure 8: (a) Henyey-Greenstein phase function for different values of the asymmetry factor. (b) The Rayleigh phase function is shown for s-polarized (E-field perpendicular to the plane of incidence), p-polarized (E-field parallel to plane of incidence) and unpolarized incident radiation. The plane of incidence is equal to the plane of the paper. to assess, and approximations must be used. A common approximation is the the Henyey-Greenstein (H-G) phase function [68] p(cos Θ) = 1 1 − g2 . 4π (1 + g 2 − 2g cos Θ)3/2 (21) This function depends only on the scattering angle Θ, which in terms of the incident and scattered directions (θi , φi ) and (θr , φr ), as defined in Figure 3, is given by cos Θ = cos θr cos θi + sin θr sin θi cos(φr − φi ) . (22) It is therefore often used when modelling isotropic media, see Figure 6, where the probability for scattering in a certain direction only depends on the angle between incoming and outgoing direction, i.e. the scattering angle. The shape of the phase function is controlled by the asymmetry factor g = hcos Θi, where hcos Θi is the average of the cosine of the scattering angle. The asymmetry factor ranges from -1 (complete backward scattering) to 1 (complete forward scattering), where g = 0 is isotropic scattering. The H-G phase function for different values of g is shown in Figure 8(a) for a single plane of observation, i.e cos(φr − φi ) = −1. Within computer graphics the Schlick phase function is sometimes used [69]. This is a slight modification of H-G function where the exponent 3/2 in the denominator of Eq. (21) is replaced with 2 to speed up computations in real-time rendering. Scattering from small particles, much smaller then the wavelength of the light, can be described by the Rayleigh phase function pR (Θ) = 3 (1 + cos2 Θ) , 4 (23) shown in Figure 8(b). The Rayleigh phase function is nearly isotropic and since it is symmetric around Θ = 90o , its asymmetry factor is equal to zero. As the size of the 16 4 Radiative transfer theory Isca φ θ Iinc Figure 9: Scattering from a long cylinder becomes more and more concentrated to the surface of a cone, as the ratio between its length and radius increases. particles increases, the scattering becomes more concentrated to the forward direction and the Rayleigh approximation becomes less valid. Scattering from particles comparable to or larger than the wavelength of the incident light requires a more rigorous treatment by solving Maxwell’s equations. This can only be done analytically for very simple geometries, such as perfectly spherical particles or long cylinders by using Mie theory [70]. In this thesis, the H-G phase function is used to model the angular distribution of light scattering in paper, treating the paper as a homogeneous medium. The size of filler and coating pigments in paper are of the same order as the wavelength of the light, and scattering from these particles is thus in the Mie regime. The forward directed scattering from particles of this size is taken into account by the asymmetry factor and the H-G phase function is therefore regarded as a valid approximation for this source of scattering. Interference effects are assumed negligible due to multiple scattering and the highly randomized structure of paper. In order to take the elongated shape of the fibres into account, more advanced models are required. One approach is to use a statistical description of the paper structure in combination with Monte Carlo simulations [71]. The fibres are then approximated by long cylinders, see Figure 9, whose phase function can be calculated by Mie theory [70, 72, 73]. The phase function and the horizontal alignment of the fibres affect for instance the lateral light scattering in a paper sheet [74]. Fluorescence emission is assumed to be isotropic. Although the fluorescence emission from a single fluorophore molecule depends on the molecule’s orientation, it is assumed that net emission is isotropic due to randomly oriented molecules. The angular distribution of the fluorescence leaving the paper is however not necessarily isotropic, but is related to the average depth of emission as shown in Paper IV and illustrated in Figure 10. 17 Measuring and modelling light scattering in paper ΦL ΦL * ΦL d * * βL βL βL θr θr θr Figure 10: The anisotropy of the fluorescence emission is related to the average depth of emission d within the material. A Lambertian distribution of the fluorescence ΦL [Wsr−1 ], i.e. a constant luminescent radiance βL , is obtained at a specific average depth (mid). For a large value of the absorption coefficient at the excitation wavelength (high concentration of fluorophores), the emission takes place near the surface. Since the fluorescence process can be regarded as being isotropic, the resulting fluorescence ΦL exiting the material is also isotropic (top left), which gives non-Lambertian distribution of the luminescent radiance βL (bottom left). For large value of d, there is a higher probability that the fluorescence emitted at oblique angles will be scattered or absorbed before exiting the material, which also results in non-Lambertian distribution (right). It should be noted that interactions with the top surface would also change the shape of the distribution. 4.3 The forward and inverse problem The forward problem consists of solving Eq. (19) for a given set optical parameters and directions (θ, φ). Since this equation lacks an analytical solution, one has to rely on numerical methods. A common method is using discrete ordinates, where the integral over directions is approximated by numerical quadrature [67, 75]. Several numerical implementations exist, such as DISORT [76] and DORT2002 [77, 78], where the latter is adapted to light scattering in paper and used extensively in Paper V. Another way to solve the RTE is to use spherical harmonics, where the RTE is transformed to a set of partial differential equations by expanding the intensity into a series of spherical harmonics [79]. For an overview of numerical methods for solving the RTE, the textbook by Modest is recommended [80]. Monte Carlo methods are a different approach to solve the RTE. The Open PaperOpt simulation tool [71] is a Monte Carlo implementation of radiative transfer in paper, and is used for most of the simulations in Paper IV. The inverse problem, also referred to as the parameter estimation problem, is to determine the optical parameters x = (σa , σs , g) given a set of reflectance and/or transmittance data. It is a common problem that is also encountered in e.g. high temperature applications [81,82], biomedicine [83,84] and optical tomography [12,13]. Apart from the methods developed by Edström [85] and Joshi [86], methods that retrieve 18 4 Radiative transfer theory (a) 40 g/m2 (b) Opaque Figure 11: The main difficulty in the parameter estimation problem consists of decoupling the scattering coefficient σs and the absorption coefficient σa , as shown in (a) for a sample with basis weight 40 g/m2 and total transmittance of 10%. The local flatness of the objective function makes the minimum (σs , σa ) = (150, 10) difficult to find (black circle). The flatness increases with increasing optical thickness, until the sample becomes opaque and there is no longer any unique minimum in this parameter subspace. The parameters σs and σa can therefore not be decoupled for an opaque sample. The reflectance from an opaque sample depends only on the albedo a and asymmetry factor g, which gives an easier estimation problem as shown in (b), where the objective function is shown in the (a, g)-parameter space. all three parameters from only reflectance measurements are uncommon. In this thesis, the data when solving the parameter estimation problem consists of a set of BRDF values in chosen directions. The parameter estimation problem then amounts to minimizing the differences between model predictions (simulations) and the given data, often by minimizing an objective function. In this work, the simulations are made with the DORT2002 software. The main difficulty of the inverse problem is illustrated in Figure 11(a), where the objective function is shown for a sample with basis weight 40 g/m2 in the (σs , σa )-parameter space. The local elongated flatness near the solution at (σs , σa ) = (150, 10) makes the problem difficult to solve, and it is therefore difficult to decouple these two parameters. As the optical thickness of the sample increases, the problem with local flatness becomes worse For an opaque sample, there is no longer any unique solution and the σa and σs parameters cannot be decoupled. If we instead look at the problem of estimating the single scattering albedo a and asymmetry factor g of the opaque sample, the problem is much easier, see Figure 11(b). This problem is investigated in detail in Paper V, and particularly how sensitive it is to the choice of measurement angles for the input data. 19 Measuring and modelling light scattering in paper 5 Summary of the papers and contribution of the thesis The overall contribution of this thesis is the use of angle resolved reflectance measurements in combination with light scattering models as a comprehensive method for optical characterization of turbid media. Paper I focuses on the absolute measurement capability of a commercially available benchtop-sized spectral goniophotometer, and its applicability for BRDF measurements on paper is investigated in detail. Special attention is given to the influence of anisotropic scattering over finite sized detector aperture, and the magnitude of the error introduced. In Paper II and III, goniophotometric measurements are used to investigate various aspects of light scattering from paper. In Paper II, a method is proposed for separating the total reflectance into a bulk and surface component, and successfully applied to a matte paper. Paper III deals with the angular distribution of fluorescence and reflectance of matte paper, and the influence of filler pigment and FWA content on the distribution of the total radiance factor. In Paper IV, the angular distribution of fluorescence is investigated in more detail with the aim to determine how FWA content, angle of incidence and the optical parameters of the sample affect the distribution of fluoresced light. The inverse problem is analyzed in detail in Paper V, with the objective to establish necessary requirements regarding choice of detection angles for a successful estimation of the optical parameters. 5.1 Paper I The influence of finite sized detection solid angle on bidirectional reflectance distribution function measurements This paper deals with limitations and often overlooked sources of error introduced in compact double-beam instruments. The applicability of this kind of instrument for BRDF measurements on paper is evaluated, and the accuracy that can be expected in absolute reflectance measurements is assessed. The main focus is on errors related to the relatively large detection solid angle due to the compact design of benchtop instruments. Two error sources are analyzed. Firstly, the geometrical error due to a simplified description of the radiative transfer between illuminated area and detector aperture, and secondly the convolution error due to anisotropic scattering over the detector aperture. The results show that the former error source is almost independent of viewing angle, and introduces relative errors in measured BRDF as large as 3% and of the same magnitude as the estimated overall measurement uncertainty. Systematic errors due to convolution errors depend on the anisotropy and total reflectance level of the sample. For samples with high absorption and large degree of anisotropic scattering, the relative errors can be as high as 3% when measuring at oblique viewing angles. The results also emphasize the difficulty in avoiding systematic errors when performing absolute measurements. Comparative measurements with an accurate reference instrument at the National Research Council of Canada (NRCC) show deviations up to 10%, mainly due to systematic errors that need to be 20 5 Summary of the papers and contribution of the thesis identified and compensated for. Commercially available goniophotometers are emerging on the market, and are an attractive alternative for laboratories and research facilities due the relatively low cost, compact size and user-friendliness. The main contribution of this paper is the quantification of errors that cannot be regarded as negligible for this category of instruments. To the author’s knowledge, this is the first time this type of errors are quantified and compared to the overall measurement uncertainty. Furthermore, measurement situations are identified where the errors are particularly significant, and these often overlooked sources of error must be taken into account in order to avoid systematic errors. The results are of interest for anyone using or planning to use such an instrument, regardless of scientific field. Paper I was written in cooperation with Prof. Per Edström, Dr. Magnus Neuman and Dr. Mattias Andersson. The contribution of the author of this thesis was to perform measurements, to do calculations and main part of reasoning and writing. 5.2 Paper II Separation of surface and bulk reflectance by absorption of bulk scattered light Paper II presents a new method for separating light reflected from the surface of a material, surface reflectance, from light reflected through multiple scattering within the material, bulk reflectance. The method is applied to a matte photo paper and is realized by inkjet printing, using overlapping prints of water based dye. By adding dye to the sample, the absorption is successively increased until the bulk scattered light is completely absorbed. By goniophotometric measurements, it is shown that the bulk reflectance is efficiently cancelled at wavelengths within the absorption band of the dye, and the remaining reflected light is therefore surface reflectance. It is shown that the surface topography of the sample is unaltered, and the remaining surface reflectance is therefore regarded as identical with the surface reflectance of the undyed sample. The bulk reflectance is assessed by subtracting the surface reflectance from the total reflectance of the undyed sample. By using dyes with different colors, the surface reflectance at different parts of the spectra is assessed. The method is therefore also applicable to materials where the surface reflectance is not spectrally neutral. The results show that the surface component constitutes as small part of the total reflectance, but increases rapidly at grazing viewing angles. This is to the author’s knowledge the first time this method is proposed, and the findings in this paper contribute to several scientific fields. The results are directly applicable to light scattering in paper and print, but are also of interest in fields such as biomedical optics and computer graphics. The method is successfully applied to matte paper, which is a dielectric, highly randomized material with significant anisotropic bulk scattering and rough surface. The simplicity of the method makes it possible to study a range of materials that are difficult to analyze with existing methods. A reliable separation method opens up for new ways of analyzing e.g. biological tissues and optical coatings, and is also a valuable tool in the development 21 Measuring and modelling light scattering in paper of more comprehensive reflectance models. Paper II was written in cooperation with Dr. Magnus Neuman, Prof. Per Edström and Dr. Mattias Andersson. The contribution of the author of this thesis was to perform measurements, to do calculations and main part of reasoning and writing. 5.3 Paper III Angular variations of reflectance and fluorescence from paper - the influence of fluorescent whitening agents and fillers In this paper, the angular distribution of reflectance and fluorescence is investigated for a set of paper samples containing different amounts of filler and FWA. By using incident light of wavelengths within the excitation band of the FWA, the angular distribution of the total radiance factor, i.e. reflected and luminescent, is assessed by goniophotometric measurements. Since we are using a broadband detector and not a bispectrometer, the total fluorescence emitted for a certain excitation wavelength is included in the measurement. By equipping the detector with a UV-blocking filter, the total fluorescence is extracted by excluding the reflected radiance from the measurements. The reflected radiance is in turn assessed by subtracting the measured fluorescence from the total radiance. The results show that the angular distribution of the fluorescence can be regarded as Lambertian in comparison to the reflectance. The findings may however depend on the optical properties of the sample and choice of angle of incidence, which is investigated further in Paper IV. It is also observed that the total radiance becomes more isotropic with increasing amount of FWA, as well as with increasing amount of filler pigments. The addition of filler does however reduce the effect of FWA, since the average penetration depth decreases and less light interacts with the FWA. The findings are directly applicable to paper manufacturing where FWA is added to increase the whiteness. A Lambertian fluorescence distribution makes the desired effect independent of viewing angle, and the results are therefore a good starting point when analyzing more complex distributions of FWA in paper. A Lambertian distribution is a common assumption in e.g. computer graphics when rendering materials exhibiting fluorescence, but to the authors knowledge this is the first time it is verified experimentally for paper substrates. The results are also of interest in epaper technology, where the overall appearance should resemble traditional paper as closely as possible. Paper III was written in cooperation with Dr. Mattias Andersson. The contribution of the author of this thesis was to perform measurements, to do calculations and main part of reasoning and writing. 22 5 Summary of the papers and contribution of the thesis 5.4 Paper IV Angular dependence of fluorescence from turbid media The angular distribution of fluorescence from a set of papers containing different amounts of FWA is investigated by both Monte Carlo light scattering simulations and goniophotometric measurements. The scattering and absorption coefficients together with the quantum efficiency are estimated from bispectral measurements. The problematic estimation of the parameter values at the excitation wavelength, due to the large absorption by the FWA, is made by using a method suggested by Coppel et al [87], that relies on differences in luminescent radiance factor between an opaque and translucent (single sheet) sample. Both measurements and simulations show that the angular distribution of fluorescence depends on the concentration of FWA, where increasing concentration results in a more Lambertian distribution. Furthermore, it is shown that higher values of the single scattering albedo and larger angles of incidence also makes the distribution more Lambertian. It is deduced that all of these effects can be attributed to the average depth of fluorescence emission. If the emission takes place closer to the surface, there is a higher probability that light exits at oblique angles due to the shorter optical path. The simulations also show that the angular distribution is independent of wavelength for all emission wavelength above 420 nm. The findings shed new light on the underlying mechanisms behind the angular distribution of fluorescence, and explain the different and sometimes contradictory results reported in the literature. The results show that the angular distribution is strongly correlated to the mean depth of the fluorescence process. This means that the angular distribution of fluorescence must be taken into account when determining the quantum efficiency of fluorescing turbid media. When the optical parameters are known, the depth of the fluorophores may be deduced from the angular distribution, and the findings can therefore find applications in fluorescence spectroscopy and dye tracing in medical applications. Paper IV was written in cooperation with Dr. Ludvic Gustafsson Coppel and Dr. Magnus Neuman. The contribution of the author of this thesis was to perform measurements and part of the analysis, reasoning and writing. 5.5 Paper V The inverse radiative transfer problem - considerations for optically thick media This paper analyses the inverse problem, i.e. estimating the optical parameters from bidirectional measurements, in more detail and highlights the main reasons why an estimation of all three parameters is difficult. It specifically targets the the problem of estimating the optical parameters of optically thick turbid media when a restricted set of detection angles are available. In most situations encountered, restrictions in detection angles are necessary or inevitable for various reasons. It might be due to 23 Measuring and modelling light scattering in paper mechanical limitations of the measurement equipment, or that an unobstructed view of the sample is not possible. A common reason is that the measurements are often time consuming and that the overall measurement time needs to be reduced. As a first step, the characteristics of the inverse problem is illustrated by contour plots of the objective function 1X F (x) = {Mi (x) − bi }2 , (24) 2 i using DORT2002 software to generate both model predictions Mi (x) and measurement data points bi for different sets of parameters x. The true parameter values are thereby known, which allows us to evaluate the accuracy of the parameter estimation. A visual evaluation of the contour plots reveals that only the asymmetry factor and the scattering albedo can be estimated from bidirectional reflectance measurements on an opaque sample, and that measurements on a translucent sample are needed in order to decouple the scattering and absorption coefficient. It is also shown that measurements on a translucent sample is in principle enough for a full three parameter estimation, but the estimation problem becomes increasingly difficult as the optical thickness of the sample increases. The rest of the paper focuses on studying the two-parameter estimation problem of an opaque sample. The reason for this is mainly that this problem provides better conditions for estimating the asymmetry parameter, which for the full problem is very sensitive to both measurement noise and choice of initial value. Knowledge of both the albedo and the asymmetry factor reduces the difficulty of estimating σa and σs . The remaining analyses are focused on how the curvature of the objective function is affected by restrictions in available detection angles. A parameter estimation is performed for different sets of detection angles. Four test cases with different values of asymmetry factor and albedo are analyzed, and noise is added to the measurement points in order to simulate more realistic measurement conditions. The results show that the set of detection angles can be confined to the plane of incidence, and even to forward directions only as long as sufficiently oblique angles are included in the measurement sequence. The absolute errors in estimated asymmetry factor and relative error in estimated albedo are in most cases below 0.02 and 0.2% respectively, when using moderate noise levels. Test cases with high values of g showed in general the largest errors. The relative errors in albedo where significantly larger for test cases with low albedo. These findings are of direct importance to the development of fast on-line measurement systems for e.g. paper technology and optical imaging applications, as well as in the development of extended parameter estimation methods. Increasing the overall reflectance of a material is a common product design task in many applications, such as paper manufacturing, coating technology and thin film technology. Solving the parameter estimation problem makes it possible to monitor how different stages in the manufacturing process affect the optical parameters. Knowledge of how to obtain optimal conditions for a successful parameter estimation is therefore highly valuable. Paper V was written in cooperation with Dr. Magnus Neuman, Prof. Per Edström 24 5 Summary of the papers and contribution of the thesis and Dr. Mattias Andersson. The contribution of the author of this thesis was to perform simulations, to do calculations and main part of reasoning and writing. 25 Measuring and modelling light scattering in paper 6 Discussion In paper I, it is shown that a thorough understanding of the measurement equipment is required in order to conduct reliable goniophotometric measurements. BRDF measurements are not particularly error-prone, as long as one is aware of the limitations imposed by the instrument. For reliable measurements, the impact of the approximations made when converting measured quantities to BRDF values must be fully understood and properly handled. For accurate reference instruments at e.g. metrology institutes, these approximations are truly negligible, but can be significant for commercial, benchtop sized instruments. For the instrument used in this thesis, the errors in the approximations are in some instances of the same order as the estimated overall measurement uncertainty, which is shown in Paper I. It should however be pointed out that it is not reasonable to expect the same high accuracy as that of a reference instrument. The accuracy can always be improved by conducting relative measurements against a calibrated reference target, which also adds extra reliability in terms of traceability. The findings in Paper I emphasize the importance of giving a detailed description of the measurement parameters used when reporting measured BRDF values. An aspect that has not been included in the analysis is sample uniformity. The geometrical error identified in Paper I can be reduced by reducing the size of detector aperture and illuminated area. For paper samples, the optical properties vary along the lateral dimensions of the sample, and a sufficiently large area must be illuminated in order to obtain a representative measurement value. Reducing the area is therefore not a recommended alternative to using the geometrical correction. In paper II, a method for separating surface and bulk reflectance is proposed. It is intended to be used for materials where the dye is efficiently absorbed into the bulk of the material, such as matte paper grades. For paper grades were the surface is not as porous, splitting the sample into two halves or applying the dye on the backside of the sample are alternative methods. It should also be pointed out that any interaction between the bulk scattered light and the surface is included in the measured BRDF of the bulk reflectance and effects such as internal reflection might alter the measured BRDF. To what extent the bulk reflectance is affected depends on how well-defined the air-interface is, i.e. the smoothness of the surface, and it is therefore assumed that the effect is small for this case with matte samples. This effect is also present in the fluorescence measurements conducted in Paper IV. In paper III, it is demonstrated that the fluorescence can be assessed qualitatively, by placing a UV-blocking filter in front of the broadband detector. Quantitative fluorescence measurements in terms of Donaldson radiance factors can however only be performed with a bispectrophotometer, where the wavelength of the incident and detected light can be controlled independently of each other by two monochromators. The results in Paper III can therefore not be used for photometric purposes. The angular distribution is however most likely correct, since the findings in Paper IV show that the luminescent BRDF does not depend on emission wavelength. The angular distribution of the fluorescence does however depend on the average depth of emission, and thereby on the distribution of the FWA in the sample. The paper samples used in the study are made on a small scale experimental paper machine, 26 7 Future work where the FWA is evenly distributed in the sample, which differs from the distribution found in most commercial paper grades. It would therefore be interesting to extend the study to commercial paper grades as well. The comparison between measurements and simulations in Paper IV can be improved with better estimations of the asymmetry factor. Estimating the asymmetry factor has proved to be difficult with earlier parameter estimation methods. It is however shown in Paper V that the single scattering albedo and asymmetry factor can be estimated directly from bidirectional measurements on an opaque sample. It would therefore be interesting to repeat the experiments in Paper IV with asymmetry factors estimated in this way. A natural extension of the work presented in Paper V is to develop a method for the inverse problem of estimating the scattering and absorption coefficient when the values of the asymmetry factor and the albedo are known a priori. One must however bear in mind that the asymmetry factor is only a parameter in the RT model, and a simplification of the complex scattering that takes place in the paper structure. For further improvement of RT models for light scattering in paper, the continued work should be focused on developing alternative phase functions and more comprehensive surface models. 7 Future work A natural extension of this work is to further improve both the experimental methods and the numerical models for studying light scattering in turbid media. Extending the existing bulk scattering models with models for surface scattering is one possible improvement. Although this source of scattering is small for matte papers, it becomes more significant for e.g. coated papers with smoother surfaces, and a combined model is necessary in order to improve the agreement between measurements and simulations. A smoother surface introduces a well-defined air-substrate interface that increases both the direct top surface reflectance, but also the internal reflectance of bulk scattered light and fluorescence. The experimental methods can be improved by utilizing the out-of-plane measurement capability of the instrument, which allows a more comprehensive characterization of materials with textured surfaces. A new field where this type of analyses is of particular interest is solar cell technology. The efficiency of solar cells can be increased by reducing front-surface reflections, which depend on parameters such as the texture of the surface. As solar cells are getting thinner, increasing the efficiency by increasing the path length of the light within the active layer becomes more important. Optimizing the texture of the backing layer, by reflecting light back towards the active layer at oblique angles is one way to achieve higher efficiency. Another field where the reflectance of the backing/substrate is of important is in printed electronics. The efficiency of the sintering process, where the deposited metal nano particles are melted together into conductive layer, can most likely be increased by taking the optical properties of the backing (i.e paper) into account. RT models for light scattering can be developed further by e.g. considering other 27 Measuring and modelling light scattering in paper phase functions than Henyey-Greenstein. By advancing to models based on scattering of electromagnetic waves, such as the discrete dipole approximation or Tmatrix methods, a more comprehensive description of light scattering is achieved, This would enable simulations of e.g. polarization effects that the scalar RTE does not allow. 8 Conclusions This thesis shows that bidirectional reflectance measurements is a very powerful tool for optical characterization of paper. The results are directly applicable in industrial applications for monitoring how the optical response of the product is affected by various factors such as filler content, FWA distribution and surface treatment. Measuring bidirectional reflectance is however not a trivial task and puts high demands on the equipment. It is shown that the accuracy of measurements with a compact goniophotometer to a large extent depends on the optical properties of the sample and the measurement geometry. In addition, a compact design of the instrument increases the risk of introducing systematic errors that are difficult to detect. These findings are not limited to paper substrates, but hold for any material with similar properties, such as fabrics, composites and biological tissue and are thus of importance in several fields. A method for separating the total reflectance into a surface and a bulk reflectance component has been developed and successfully applied to matte paper. By using reflectance measurements separated into a surface and bulk component, more comprehensive reflectance models can be developed. The method targets materials that are difficult to analyse with existing methods, namely dielectric, highly randomized materials with significant anisotropic bulk scattering and a rough surface. The proposed method is thus of interest in several scientific fields, such as biomedical optics and computer graphics. It is also shown that fluorescence from paper can be studied in a qualitative manner with spectral goniophotometric measurements. Filler pigments and FWA alter the angular distribution of the total radiance and the findings are therefore relevant when trying to optimizing the usage and performance of additives, as well as for improving current reflectance models. This thesis provides deeper insight into the angular distribution of fluorescence and identifies the underlying mechanisms. It is found that the degree of anisotropy depends to a large extent on the average depth of fluorescence emission, that in turn depends on several factors such as concentration of FWA, asymmetry factor, single scattering albedo and angle of incidence, which all have to be taken into account when determining the fluorescence efficiency. The problem of estimating optical properties of optically thick turbid media from bidirectional measurements is closely related to the choice of measurement angles. Simulations show that restricting the detection angles to the plane of incidence (inplane), and even the forward direction only, does not affect precision or stability of 28 References the estimation of albedo and asymmetry factor, as long as sufficiently oblique angles are included in the measurement sequence. The findings are of direct importance in the development of fast on-line measurement systems for e.g. paper technology and optical imaging, where a restricted set of angles might be necessary. References [1] International Organization for Standardization, “ISO 2469: Paper, board and pulps - Measurement of diffuse radiance factor,” (ISO 2007) (2007). [2] M. Neuman, P. Edström, M. Andersson, L. Coppel, and O. Norberg, “Angular Variations of Color in Turbid Media - the Influence of Biulk Scattering on Goniochromism in Paper,” Proc. CGIV pp. 407–413 (2010). [3] M. Neuman and P. Edström, “Anisotropic reflectance from turbid media. II. Measurements,” J. Opt. Soc. Am. A 27, 1040–1045 (2010). [4] M. Neuman and P. Edström, “Anisotropic reflectance from turbid media. I. Theory,” J. Opt. Soc. Am. A 27, 1032–1039 (2010). [5] M. Neuman, L. G. Coppel, and P. Edstrom, “Angle resolved color of bulk scattering media,” Appl. Opt. 50, 6555–6563 (2011). [6] R. Drezek, A. Dunn, and R. Richards-Kortum, “Light scattering from cells: finite-difference time-domain simulations and goniometric measurements,” Appl. Opt. 38, 3651–3661 (1999). [7] Y. Zhu, Z. Ding, and M. Geiser, “Tissue scattering parameter estimation through scattering phase function measurements by goniometer,” Chin. Opt. Lett. 5, 531–533 (2007). [8] M. Pointer, N. J. Barnes, P. J. Clarke, and M. J. Shaw, “A new goniospectrophotometer for measuring gonio-apparent materials,” Color. Technol. 121, 96–103 (2005). [9] N. Matsapey, J. Faucheu, M. Flury, and D. Delafosse, “Design of a gonio-spectrophotometer for optical characterization of gonio-apparent materials,” Meas. Sci. Technol. 24 (2013). [10] A. Ferrero, A. Rabal, J. Campos, F. Martinez-Verdu, E. Chorro, E. Perales, A. Pons, and M. Luisa Hernanz, “Spectral BRDF-based determination of proper measurement geometries to characterize color shift of special effect coatings,” J. Opt. Soc. Am. A 30, 206–214 (2013). [11] S. R. Arridge and J. C. Schotland, “Optical tomography: forward and inverse problems,” Inverse Prob. 25 (2009). [12] A. Klose, V. Ntziachristos, and A. Hielscher, “The inverse source problem based on the radiative transfer equation in optical molecular imaging,” J. Comput. Phys. 202, 323–345 (2005). 29 Measuring and modelling light scattering in paper [13] A. D. Klose, “The forward and inverse problem in tissue optics based on the radiative transfer equation: A brief review,” J. Quant. Spectrosc. Radiat. Transfer 111, 1852–1853 (2010). [14] K. Stamnes, B. Hamre, J. J. Stamnes, G. Ryzhikov, M. Biryulina, R. Mahoney, B. Hauss, and A. Sei, “Modeling of radiation transport in coupled atmospheresnow-ice-ocean systems,” J. Quant. Spectrosc. Radiat. Transfer 112, 714–726 (2011). [15] N. Pauler, Paper Optics (AB Lorentzen & Wettre, Kista, Sweden, 2012), 2nd ed. [16] C. Amra, C. Deumie, and O. Gilbert, “Elimination of polarized light scattered by surface roughness or bulk heterogeneity,” Opt. Express 13, 10854–10864 (2005). [17] A. Apostol, D. Haefner, and A. Dogariu, “Near-field characterization of effective optical interfaces,” Phys. Rev. E 74, 06603 (2006). [18] M. Elias, P. Castiglione, and G. Elias, “Influence of interface roughness on surface and bulk scattering,” J. Opt. Soc. Am. A 27, 1265–1273 (2010). [19] G. Latour, G. Georges, L. S. Lamoine, C. Deumié, and J. Conrath, “Light scattering from human corneal grafts: Bulk and surface contribution,” J. Appl. Phys. 108 (2010). [20] S. Krishnan, “Mueller-matrix ellipsometry on electroformed rough surfaces,” J. Mod. Opt. 42, 1695–1706 (1995). [21] L. F. Rojas-Ochoa, D. Lacoste, R. Lenke, P. Schurtenberger, and F. Scheffold, “Depolarization of backscattered linearly polarized light,” J. Opt. Soc. Am. A 21, 1799–1804 (2004). [22] M. Zerrad, J. Sorrentini, G. Soriano, and C. Amra, “Gradual loss of polarization in light scattered from rough surfaces: Electromagnetic prediction,” Opt. Express 18, 15832–15843 (2010). [23] J. Sorrentini, M.Zerrad, G.Soriano, and C.Amra, “Enpolarization of light by scattering media,” Opt. Express 19, 21313–21320 (2011). [24] T. Germer, “Angular dependence and polarization of out-of-plane optical scattering from particulate contamination, subsurface defects, and surface microroughness,” Appl. Opt. 36, 8798–8805 (1997). [25] T. Germer and C. Asmail, “Goniometric optical scatter instrument for out-ofplane ellipsometry measurements,” Rev. Sci. Instrum. 70, 3688–3695 (1999). [26] O. Gilbert, C. Deumié, and C. Amra, “Angle-resolved ellipsometry of scattering patterns from arbitrary surfaces and bulks,” Opt. Express 13, 2403–2418 (2005). [27] C. Amra, M. Zerrad, L. Siozade, G. Georges, and C. Deumié, “Partial polarization of light induced by random defects at surfaces and bulks,” Opt. Express 16, 10342–10354 (2008). 30 References [28] L. Arnaud, G. Georges, C. Deumié, and C. Amra, “Discrimination of surface and bulk scattering of arbitrary level based on angle-resolved ellipsometry: Theoretical analysis,” Opt. Commun. 281, 1739–1744 (2008). [29] L. Arnaud, G. Georges, J. Sorrentini, M.Zerrad, C. Deumié, and C. Amra, “An enhanced contrast to detect bulk objects under arbitrary rough surfaces,” Opt. Express 17, 5758–5773 (2009). [30] K. E. Torrance and E. M. Sparrow, “Theory for Off-Specular Reflection From Roughened Surfaces,” J. Opt. Soc. Am. 57, 1105–1114 (1967). [31] R. L. Cook and K. E. Torrance, “A Reflectance Model for Computer Graphics,” Comput. Graphics 15, 307–316 (1981). [32] M. Oren and S. K. Nayar, “Generalization of the Lambertian Model and Implications for Machine Vision,” Int. J. Comput. Vision 14, 227–251 (1995). [33] L. B. Wolff, “Diffuse-reflectance model for smooth dielectric surfaces ,” J. Opt. Soc. Am. A 11, 2956–2968 (1994). [34] L. Simonot, “Photometric model of diffuse surfaces described as a distribution of interfaced Lambertian facets,” Appl. Opt. 48, 5793–5801 (2009). [35] X. D. He, K. E. Torrance, F. Sillion, and D. Greenberg, “A comprehensive physical model for light-reflection,” Comput. Graphics 25, 175–186 (1991). [36] H. Ragheb and E. Hancock, “A light scattering model for layered rough surfaces,” in “Image Analysis and Recognition,” , vol. 4142 of Lecture Notes in Computer Science, A. Campilho and M. Kamel, eds. (Springer Berlin / Heidelberg, 2006), pp. 169–180. [37] P. Beckmann and A. Spizzichino, The Scattering of Electromagnetic Waves from Rough Surfaces (Artech House Inc., 1987). [38] S. K. Nayar, K. Ikeuchi, and T. Kanade, “Surface Reflection - Physical and Geometrical Perspectives,” IEEE Trans. Pattern Anal. Machine Intell. 13, 611–634 (1991). [39] S. H. Westin, H. Li, and K. E. Torrance, “A comparision of four BRDF models,” Tech. Rep. PCG-04-02, Program of Computer Graphics, Cornell University (2004). [40] D. Hünerhoff, U. Grusemann, and A. Höpe, “New robot-based gonioreflectometer for measuring spectral diffuse reflection,” Metrologia 43, 11–16 (2006). [41] R. Baribeau, W. S. Neil, and E. Cǒté, “Development of a robot-based gonioreflectometer for spectral BRDF measurements,” J. Mod. Opt. 56, 1497–1503 (2009). [42] J. Liu, M. Noel, and J. Zwinkels, “Design and characterization of a versatile reference instrument for rapid, reproducible specular gloss measurements,” Appl. Opt. 44, 4631–4638 (2005). 31 Measuring and modelling light scattering in paper [43] M. Noel, J. Zwinkels, and J. Liu, “Optical characterization of a reference instrument for gloss measurements in both collimated and a converging beam geometry,” Appl. Opt. 45, 3712–3720 (2006). [44] G. Obein, R. Bousquet, and M. E. Nadal, “New NIST Reference Goniospectrometer,” Proc. SPIE 5880, 241–250 (2005). [45] D. Williams, “Establishment of absolute diffuse reflectance scales using the NPL Reference Reflectometer,” Anal. Chim. Acta 380, 165–172 (1999). [46] S. Nevas, F. Manoocheri, and E. Ikonen, “Gonioreflectometer for measuring spectral diffuse reflectance,” Appl. Opt. 43, 6391–6399 (2004). [47] F. B. Leloup, S. Forment, P. Dutré, M. R. Pointer, and P. Hanselaer, “Design of an instrument for measuring the spectral bidirectional scatter distribution function,” Appl. Opt. 47, 5454–5467 (2008). [48] W. Zhang, F. Wang, Z. Wang, and H. Wang, “Meassuring of spectral BRDF using fiber optic spectrometer,” Proc. SPIE 7658 (2010). [49] P. van Nijnatten, “An automated directional reflectance/transmittance analyser for coating analysis,” Thin Solid Films 442, 74–79 (2003). [50] D. B. Kim, K. S. Park, K. Y. Kim, M. K. Seo, and K. H. Lee, “High-dynamic-range camera-based bidirectional reflectance distribution function measurement system for isotropic materials,” Opt. Eng. 48 (2009). [51] D. R. Wyble and R. S. Berns, “Validating the Accuracy of the MCSL Imaging Goniospectrometer,” Tech. rep., Rochester Institute of Technology, College of Science, Center for Imaging Science,Munsell Color Science Laboratory, Rochester, New York, United States (2010). [52] W. L. Wolfe, Introduction to Radiometry (SPIE Optical Engineering Press, Bellingham, Washington, 1998). [53] J. M. Palmer and B. G. Grant, The Art of Radiometry (SPIE Optical Engineering Press, Bellingham, Washington, 2009). [54] F. E. Nicodemus, J. C. Richmond, J. J. Hsia, I. W. Ginsberg, and T. Limperis, Geometrical Considerations and Nomenclature for Reflectance, NBS monograph 160 (National Bureau of Standards, 1977). [55] Joint Committee for Guides in Metrology, “Evaluation of measurement data - Guide to the expression of uncertainty in measurement,” Tech. rep., JCGM 100:2008 First Edition (2008). [56] J. C. Stover, Optical Scattering (SPIE, 1995), 2nd ed. [57] P. Waterman, “Matrix formulation of electromagnetic scattering,” Proceedings of the IEEE 53, 805–812 (1965). 32 References [58] B. T. Draine and P. J. Flatau, “Discrete-dipole approximation for scattering calculations,” J. Opt. Soc. Am. A 11, 1491–1499 (1994). [59] F. Kahnert, “Numerical methods in electromagnetic scattering theory,” J. Quant. Spectrosc. Radiat. Transfer 79-80, 775 – 824 (2003). [60] M. A. Yurkin and A. G. Hoekstra, “The discrete dipole approximation: An overview and recent developments,” J. Quant. Spectrosc. Radiat. Transfer 106, 558–589 (2007). [61] R. W. Preisendorfer, Radiative transfer on discrete spaces, vol. 74 (Pergamon Pres, 1965). [62] M. I. Mishchenko, L. D. Travis, and A. A. Lacis, Multiple Scattering of Light by Particles (Cambridge University Press, 2006). [63] M. I. Mishchenko, “Maxwell’s equations, radiative transfer, and coherent backscattering: A general perspective,” J. Quant. Spectrosc. Radiat. Transfer 101, 540–555 (2006). [64] M. I. Mishchenko, “Poynting–stokes tensor and radiative transfer in discrete random media: the microphysical paradigm,” Opt. Express 18, 19770–19791 (2010). [65] M. I. Mishchenko, “Directional radiometry and radiative transfer: A new paradigm,” J. Quant. Spectrosc. Radiat. Transfer 112, 2079–2094 (2011). [66] M. Neuman, “Applied Problems and Computational Methods in Radiative Transfer,” Doctorial thesis, no 151, Mid Sweden University, Department of Natural Sciences (2013). [67] S. Chandrasekhar, Radiative Transfer (Dover, 1960). [68] L. Henyey and J. Greenstein, “Diffuse radiation in the galaxy,” Astrophys. J. 93, 70–83 (1941). [69] P. Blasi, B. Le Saec, and C. Schlick, “A Rendering Algorithm for Discrete Volume Density Objects,” Computer Graphics Forum 12, 201–210 (1993). [70] H. C. van de Hulst, “The spherical albedo of a planet covered with a homogeneous cloud layer,” Astron. Astrophys. 35, 209–214 (1974). [71] L. G. Coppel, P. Edström, and M. Lindquister, “Open source monte carlo simulation platform for particle level simulation of light scattering from generated paper structures,” in “Proc. Papermaking Res. Symp.”, , E. Madetoja, H. Niskanen, and J. Hämäläinen, eds. (Kuopio, 2009). [72] S. Lee, “Effect of fiber orientation on thermal radition in fibrous media,” Int J Heat Mass Tran. 32, 311–319 (1989). [73] S. Lee, “Scattering phase function for fibrous media,” Int J Heat Mass Tran. 33, 2183–2190 (1990). 33 Measuring and modelling light scattering in paper [74] T. Linder, T. Lofqvist, L. G. Coppel, M. Neuman, and P. Edstrom, “Lateral light scattering in fibrous media,” Opt. Express 21, 7835–7840 (2013). [75] P. Mudgett and L. Richards, “Multiple scattering calculations for technology,” Appl. Opt. 10, 1485–1502 (1971). [76] K. Stamnes, S.-C. Tsay, W. Wiscombe, and K. Jayaweera, “Numerically stable algorithm for discrete-ordinate-method radiative transfer in multiple scattering and emitting media,” Applied Optics 27, 2502–2509 (1988). [77] P. Edström, “Mathematical modeling and numerical tools for simulation and design of light scattering in paper and print,” Ph.D. thesis, Mid Sweden University (2007). [78] P. Edström, “A Fast and Stable Solution Method for the Radiative Transfer Problem,” SIAM Rev. 47, 447–468 (2005). [79] A. R. Gardner, A. D. Kim, and V. Venugopalan, “Radiative transport produced by oblique illumination of turbid media with collimated beams,” Phys. Rev. E 87, 063308 (2013). [80] M. F. Modest, Radiative heat transfer (Academic Press, 2003), 2nd ed. [81] S. Subramaniam and M. P. Mengüç, “Solution of the inverse radiation problem for inhomogeneous and ansiotropically scattering media using a Monte-Carlo technique,” Int J Heat Mass Tran. 34, 253–266 (1991). [82] H. Park and T. Yoon, “Solution of the inverse radiation problem using a conjugate gradient method,” Int J Heat Mass Tran. 43, 1767–1776 (2000). [83] B. Wilson and S. Jacques, “Optical reflectance and transmittance of tissues principles and applications,” IEEE J. Quantum. Electron. 26, 2186–2199 (1990). [84] W. Cheong, S. Prahl, and A. Welch, “A review of the optical properties of biological tissues,” IEEE J. Quantum. Electron. 26, 2166–2185 (1990). [85] P. Edström, “A two-phase parameter estimation method for radiative transfer problems in paper industry applications,” Inverse Probl. Sci. En. 16, 927–951 (2008). [86] N. Joshi, C. Donner, and H. Jensen, “Noninvasive measurement of scattering anisotropy in turbid materials by nonnormal incident illumination,” Opt. Lett. 31, 936–938 (2006). [87] L. G. Coppel, M. Andersson, and P. Edström, “Determination of quantum efficiency in fluorescing turbid media,” Appl. Opt. 50, 2784–2792 (2011). 34
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