Recent Progress in Color Science

Karen Braun and Reiner Eschbach, Editors
1997 
ISBN / ISSN: 0-89208-202-X
434 pages

Member Price: $25.00
Non-Member Price $25.00

The third "Recent Progress Series" publication is intended to give an up-to-date look at current research in color perception in industry and academia. The papers in this book span various topics in the appearance of color and its role in imaging, including cross-media consideration, color appearance models, color constancy algorithms, and gamut mapping techniques. Conferences and publications of IS&T from which this book's material was drawn have provided a rich forum for professional exchange in the field.

© 1997, The Society for Imaging Science and Technology

The following papers are included in this publication. To read the abstract, click on the paper title.

You may purchase the full text of these papers in PDF format from the asbtract-view screen, or you may return to this page to purchase a hardcopy of the entire publication.

Chapter I: Color Appearance

• Communicating Color Appearance with the ICC Profile Format
  Scott Gregory, Robert Poe and Douglas Walker; Eastman Kodak Co. pages 1-5.
• The Effects of Backgrounds on Sensitivity and Brightness
  Mary M. Hayhoe; Center for Visual Science, University of Rochester pages 6-7.
• Viewing Environments for Cross-Media Image Comparisons
  Karen Braun and Mark D. Fairchild; Munsell Color Science Laboratory, Center for Imaging Science, Rochester Institute of Technology pages 8-13.
• Psychophysical Experiments in Search of Adaptation and the Gray World
  John J. McCann; Polaroid Corporation pages 14-17.
• Colors as Seen by Humans and Machines
  Hsien-Che Lee and Robert M. Goodwin; Eastman Kodak Company pages 18-22.
• Relationship Between Bartleson and Breneman's Brightness vs Luminance Equation and Stevens' Power Law
  King F. Choi; Eastman Kodak Company pages 23-26.
• A Model of Color Appearance of Printed Textile Materials
  Gabriel Marcu and Kansei Iwata; Graphica Computer Corporation pages 27-31.
• Color Reproduction and Color Vision Modeling
  Robert W.G. Hunt; Colour Consultant pages 32-36.
• Color and Brightness: Contrast and Context
  Steven K. Shevell; Visual Sciences Center, University of Chicago pages 37-41.
• Perceptual Quality of Color Images of Natural Scenes Transformed in CIELUV Color Space
  Elena A. Fedorovskaya, Frans J.J. Blommaert*, and Huib de Ridder*; Moscow State University *Institute for Perception Research, Eindhoven University of Technology pages 42-45.
• Rethinking the White Point
  Joyce E. Farrell and Brian A. Wandell*; Hewlett-Packard Laboratories *Stanford University pages 46-48.
• Comparing Appearance Models Using Pictorial Images
  Taek Gyu Kim, Roy S. Berns and Mark D. Fairchild; Center for Imaging Science, Rochester Institute of Technology pages 49-55.
• Color Sensations in Complex Images
  John McCann; Polaroid Corporation pages 56-63.
• Color Appearance in Images Measurements and Musings
  Brian A. Wandell and E.J. Chichilnisky; Psychology and Neuroscience, Stanford University pages 64-67.
• Adjusting Simultaneous Contrast Effect for Dynamic Information Display
  Suguru Ishizaki; Visible Language Workshop, Media Laboratory, Massachusetts Institute of Technology pages 68-71.
• Epiphenomenon of Color in Visual Perception
  A.P. Petrov; Russian Research Center, Kurchatov Institute pages 72-75.
• Scene Normalization Mechanisms in Humans
  John J. McCann; Polaroid Corporation pages 76-79.
• Accurate Color Reproduction of CRT Displayed Images as Projected 35mm Slides
  Mark D. Fairchild, Roy S. Berns, Audrey A. Lester, and Hae Kyung Shin; Munsell Color Science Laboratory, Center for Imaging Science, Rochester Institute of Technology pages 80-84.
• Visual Evaluation and Evolution of the RLAB Color Space
  Mark D. Fairchild; Munsell Color Science Laboratory, Center for Imaging Science, Rochester Institute of Technology pages 85-89.
• Effect of Spatial Frequency on Chromatic Induction
  Phil Q. Jin, Joel Pokorny and Vivianne C. Smith; The University of Chicago, Visual Sciences Center pages 90-92.
• Multidimensional Structure of Colorfulness: Chroma Variation in Color Images of Natural Scenes
  Elena Fedorovskaya, Huib de Ridder*, Sergej Yendrikhovskij*, and Frans Blommaert*; Moscow State University *Institute for Perception Researchpages 93-96.
• Perceived Grey-Levels in Complex Configurations
  Qasim Zaidi, Jeremy S. DeBonet and Branka Spehar; SUNY College of Optometry pages 97-100.
• Naturalness and Image Quality: Influence of Chroma Variation at Various Lightness Levels
  Huib de Ridder; Institute for Perception Research/IPO pages 101-103.
• Color Reproduction Algorithms and Intent
  J.A. Stephen Viggiano and Nathan M. Moroney; Imaging Division, RIT Research Corporation pages 104-106.
• Appearance Match Between Soft Copy and Hard Copy Under Mixed Chromatic Adaption
  Naoya Katoh; Research Center, Sony Corporation pages 107-110.
• Chromatic Aberration, Linear Models, and Matching Color Images
  David H. Marimont and Brian A. Wandell*; Xerox Palo Alto Research Center *Department of Psychology, Stanford University pages 111-113.
• Factors Influencing the Appearance of CRT Colors
  David H. Brainard and Koichiro Ishigami; Department of Psychology, UC Santa Barbara pages 114-118.
• Evaluation of Five Color-Appearance Transforms Across Changes in Viewing Conditions and Media
  Karen M. Braun and Mark D. Fairchild; Munsell Color Science Lab., Rochester Institute of Technology pages 119-122.
• Why is Black-and-White so Important in Color?
  R. Hunt; City University pages 123-126.
• A Pictorial Review of Color Appearance Models
  Mark D. Fairchild and Lisa Reniff; Munsell Color Science Laboratory, Center for Imaging Science, Rochester Institute of Technology pages 127-129.
• Spectral Reflectance of Skin Color and its Applications to Color Appearance Modeling
  Francisco Hideki Imai, Norimichi Tsumura, Hideaki Haneishi and Yoichi Miyake; Department of Information and Computer Sciences, Chiba University pages 130-133.
• Retinex Image Processing: Improved Fidelity To Direct Visual Observation
  Daniel J. Jobson, Zia-ur Rahman*, and Glenn A. Woodell; NASA Langley Research Center *Science and Technology Corporation pages 134-135.
• Psychophysical Generation of Matching Images for Cross-Media Color Reproduction
  Karen M. Braun and Mark D. Fairchild; Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology pages 136-141.
• Effects of Ambient Illumination on the Appearance of CRT Colors
  Heui-Keun Choh, Du-Sik Park, Chang-Yeong Kim, and Yang-Seock Seo; Samsung Advanced Institute of Technology pages 142-144.
• Managing Color Appearance in Self-Luminous Displays
  Celeste M. Howard; Hughes Training Inc., Training Operations, Armstrong Laboratory, Aircrew Training Research Division, Williams Gateway Airportpages 145-151.
• Psychophysical Methods for Assessing Visual Comfort for a Colored Pattern of Natural Environment
  Ken Sagawa and Yutaka Shirmizu*; National Institute of Bioscience and Human-Technology, Human Informatics Division (Japan) *Tsukuba College of Technology, Department of Information Science (Japan) pages 152-157.
• The LLAB Model for Colour Appearance and Color Difference Evaluation
  M. Ronnier Luo; University of Derby, Design Research Centre pages 158-164.
• Cognitive Aspects of Color
  Gunilla Derefeldt, Jean-Pierre Menu*, and Tiina Swartling; National Defense Research Establishment *Bretigny-Sur-Orge pages 165-169.
• Naturalness and Image Quality: Chroma and Hue Variation in Color Images of Natural Scenes
  Huib de Ridder, Frans J.J. Blommaert, and Elena A. Fedorovskaya; Institute for Perception Research *Department of Psychophysiology, Moscow State University pages 170-176.
• Further Applications of the ATD Model for Color Vision
  S. Lee Guth; Department of Psychology of School of Optometry, Indiana University pages 177-185.
• Is CIE L*a*b* Good Enough for Desktop Publishing?
  E.M. Granger; Light Source, Inc. pages 186-189.
• ATD Model for Color Vision I: Background
  S. Lee Guth; Department of Psychology of School of Optometry, Indiana University pages 190-192.
• ATD Model for Color Vision II: Applications
  S. Lee Guth; Department of Psychology of School of Optometry, Indiana University pages 193-199.
• ATD, Appearance Equalivalence, and Desktop Publishing
  E.M. Granger; Light Source, Inc. pages 200-202.
• Practical Method for Appearance Match Between Soft Copy and Hard Copy
  Naoya Katoh; Corporate Research Laboratories, Sony Corporation (Japan)pages 203-209.
• Criteria for the Quality of Digested Halftone Color Prints
  Joachim Heinzl and Benno Petschik; Technical University of Munich pages 210-216.
• Is Color Appearance Matching Necessary?
  Giordano Beretta; pages 217-222.
• Computer Simulation of Printed Colors on Textile Materials
  Kansei Iwata and Gabriel Marcu; Graphica Computer Corporation pages 223-229.
• Device Independent Color: Who Wants It?
  Peter A. Crean and Robert Buckley; Xerox Corporation, Webster Research Center pages 230-232.
• Global Brightness Contrast and the Effect on Perceptual Image Quality
  Jacques A.J. Roufs, Victor J.F. Koselka and Arthur A.A.M. van Tongeren; Institute for Perception Research (IPO), Eindhoven University of Technologypages 233-240.
• Use of a Model of the Human Visual System to Determine the Attributes of Aperture Colors: HUE, BRIGHTNESS, and SATURATION
  Robert Siminoff; pages 241-247.
• Accurate Color Reproduction of CRT-Displayed Images As Projected 35-mm Slides
  Mark D. Fairchild, Roy S. Berns and Audrey A. Lester; Rochester Institute of Technology, Center for Imaging Science, Munsell Color Science Laboratorypages 248-257.
• Cathode-Ray-Tube to Reflection-Print Matching Under Mixed Chromatic Adaptation Using RLAB
  Roy S. Berns and Heui-Keun Choh*; Rochester Institute of Technology, Center for Imaging Science, Munsell Color Science Laboratory pages 258-267.
• Failure of Brightness and Color Constancy Under Prolonged Ganzfeld Stimulation
  Holger Knau and Lothar Spillmann; Departments of Biophysics and Biologypages 268-273.
• A Study of Scene Structure in the Saturation Component of Color Images
  Bruce A. Thomas and Robin N. Strickland; Department of Electrical and Computer Engineering, University of Arizona pages 274-280.

Chapter II: Color Constancy

• Quantifying Human Color Constancy
  Jan Walraven and Marcel P. Lucassen; TNO Institute for Human Factors pages 281-286.
• Realization of Color Constancy Using the Dichromatic Reflection Model
  Shoji Tominaga; Osaka Electro-Communication University (Japan) pages 286-289.
• The Estimation of Natural Reflectances by a Cone-Based Linear Mode
  Richard O. Brown; Center for Human Information Processing, UCSD pages 290-290.
• Modelling Reflectance by Logarithmic Basis Functions
  Brian V. Funt; School of Computing Science, Simon Fraser University (Canada)pages 291-294.
• Device-Independent Color via Spectral Sharpening
  Mark S. Drew and Graham D. Finlayson; School of Computing Science, Simon Fraser University (Canada) pages 295-300.
• Reconstruction of Surface Spectral Reflectances Using Characteristic Vectors of Munsell Colors
  Jae Kwon Eem, Hyun Duk Shin, and Seung Ok Park*; Department of Electronic Eng., Kum Oh National University of Technology *Department of Physics, Dae Jin University pages 301-305.
• Optimal Filters for the Reconstruction and Discrimination of Reflectance Curves
  M. Mahy, P. Wambacq, L. Van Eycken and A. Oosterlinck; Katholieke Universiteit Leuven pages 306-308.
• Using Linear Models for the Illumination-Invariant Classification of Color Textures
  Glenn Healey and Lizhi Wang; Department of Electrical and Computer Engineering, University of California pages 309-310.
• Linear Models and Computational Color Constancy
  Brian Funt; School of Computing Science, Simon Fraser University (Canada)pages 311-314.
• Using Reflectance Models for Surface Estimation
  Shoji Tominaga; Osaka Electro-Communication University (Japan) pages 315-318.
• Illumination-Invariant Recognition of Local Color Distributions using Linear Models for Spectral Reflectance
  David Slater and Glenn Healey; Department of Electrical and Computer Engineering, University of California pages 319-320.
• Learning Color Constancy
  Brian Funt, Vlad Cardei and Kobus Barnard; School of Computing Science, Simon Fraser University (Canada) pages 321-323.
• Recovery of Fundamental Spectrum from Color Signals
  Hiroaki Kotera, Hideto Motomura*, and Teruo Fumoto*; Chiba University *Matsushita Research Institute Tokyo, Inc. pages 324-327.
• Is Color Constancy Task Independent?
  Jon M. Speigle and David H. Brainard; Department of Psychology, University of California pages 328-332.
• Perceptual Learning of Categorical Colour Constancy, and the Role of Illuminant Familiarity
  J.A. Richardson and I. Davies; Department of Psychology, University of Surreypages 333-337.
• Color Constancy and a Changing Illumination
  Graham D. Finlayson; School of Computing Science, Simon Fraser University (Canada) pages 338-343.
• Bayesian Method for Recovering Surface and Illuminant Properties from Photosensor Responses
  David H. Brainard and William T. Freeman; University of California, Santa Barbara *Mitsubishi Electric Research Laboratories, Inc. pages 344-353.

Chapter III: Color Difference Equations

• Optimized Basis Functions for Coding Reflectances Spectra Minimizing the Visual Color Difference
  Werner Praefcke and Thomas Keusen*; Institut fur Elektrische Nachrichtentechnik, Aachen University of Technology, RWTH *Institut fur Technische Elektronik, Aachen University of Technology, RWTH pages 355-358.
• The Effect of Image Content on Color Difference Perceptibility
  Susan P. Farnand; Eastman Kodak Company pages 359-361.
• A Comparison of Color Metrics
  John J. McCann; Consultant pages 362-365.
• Transformation of the L*A*B* Color Space to Obtain a More Uniform Chromaticity Diagram
  Alain Tremeau and Bernard Laget; Laboratoire Traitement du Signal et Instrumentation, Universite Jean Monnet pages 366-373.

Chapter IV: Color Order Systems

• Violating Expectation of Color Order
  Bill Burping and Walter Bender; Massachusetts Institute of Technology, Media Laboratory pages 375-381.

Chapter V: Color Vision

• A Spatiochromatic Model of Vision
  Ian R. Moorhead; Vision & Visual Systems Section, WXI Department, Defense Research Agency, Fort Halstead pages 383-388.
• Systematic Color Vision Model: Its Applications to Electronic Imaging
  Yan Liu; GIA Research, Gemological Institute of America pages 389-395.
• Precision of Color Matches and Accuracy of Color-Matching Functions in Cross-Media Color Reproduction
  Mark D. Fairchild and Richard L. Alfvin; Munsell Color Science Laboratory, Center for Imaging Science, Rochester Institute of Technology pages 396-399.
• Bridging the Gap Between Vision and Commercial Applications
  Richard A. Young; Department of Analytic Process, GM R&D Center pages 400-407.
• Separation of Luminance and Chromatic Information by Hebb-Stent Rules
  William McIlhagga and Graeme Cole*; McGill Vision Research Unit *Department of Mathematics and Physical Sciences, Murdoch University pages 408-415.
• Color Scene Analysis
  Mehmet Celenk; Ohio University, Department of Electrical and Computer Engineering, Stocker Center pages 416-424.

Chapter VI: Color Image Quality

• A Local Color Correlation Measure for Color Image Comparison
  A. Tremeau, V. Pugnet, E. Dinet and B. Laget; Equipe Ingenierie de la Vision, Laboratoire TSI, GIAT Industries pages 425-427.
• Color Image Quality Prediction Models for Color Hard Copy
  Tohihiko Inagaki, Takashi Miyagi, Shinji Sasahara, Tomoyasu Matsuzaki and Toshie Gotoh; Corporate Research Lab., Imaging Science & Technology Lab., Fuji Xerox Co., Ltd. (Japan) pages 428-432.