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
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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
Chapter IV: Color Order Systems
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.