Perceptual uniformity in digital image representation and display

Digital image representation is perceptually uniform if a small perturbation of a component value—such as the digital code value used to represent red, green, blue, or luminance—produces a change in light output at a display that is approximately equally perceptible across the range of that value. Most digital image coding systems—including sRGB (used in desktop graphics), BT.709 (used in high-definition television, HD), Adobe RGB (1998) (used in graphics arts), and DCI P3 RGB (used in digital cinema)—represent colour component (pixel) values in a perceptually uniform manner. However, this behavior is not well documented and is often shrouded in confusion. This article surveys perceptual uniformity in digital imaging and attempts to clarify some widely misunderstood aspects of image coding. © 2013 Wiley Periodicals, Inc. Col Res Appl, 39, 6–15, 2014

[1]  K. Richter.  Cube‐Root Color Spaces and Chromatic Adaptation , 1980 .

[2]  H. Pauli.  Proposed extension of the CIE recommendation on “Uniform color spaces, color difference equations, and metric color terms” , 1976 .

[3]  A. H. Munsell,et al.  Atlas of the Munsell color system , 1915 .

[4]  Peter I. Corke,et al.  Robotics, Vision and Control - Fundamental Algorithms in MATLAB® , 2011, Springer Tracts in Advanced Robotics.

[5]  Knox McIlwain,et al.  Principles of color television , 1956 .

[6]  Charles A. Poynton,et al.  Rehabilitation of gamma , 1998, Electronic Imaging.

[7]  Phil Green.  Perceptual Rendering Intent Use Case Issues , 2010 .

[8]  R.W.G. Hunt,et al.  The Reproduction of Colour: Hunt/Reproduction of Colour , 2005 .

[9]  John J. McCann,et al.  Color Spaces and Image Quality , 1998, PICS.

[10]  Richard Szeliski,et al.  High dynamic range video , 2003, ACM Trans. Graph..

[11]  Matthew Anderson,et al.  Proposal for a Standard Default Color Space for the Internet - sRGB , 1996, CIC.

[12]  S S Stevens,et al.  To Honor Fechner and Repeal His Law: A power function, not a log function, describes the operating characteristic of a sensory system. , 1961, Science.

[13]  Pierre Mertz.  Perception of Television Random Noise , 1950 .

[14]  Phil Green,et al.  Color management : understanding and using ICC profiles , 2010 .

[15]  John C. Russ,et al.  The Image Processing Handbook , 2015 .

[16]  C. Hargens.  Book reviewColor television standards: edited by Donald G. Fink. 520 pages, drawings, photographs and color plates, 16 X 24 cm. New York, McGraw-Hill Book Co., Inc., 1955. Price, $8.50 , 1956 .

[17]  M. H. Brill,et al.  Color Appearance Models, 2nd Edition , 2005 .

[18]  John P. Pytlak,et al.  A Simplified Motion-Picture Laboratory Control Method for Improved Color Duplication , 1976 .

[19]  Glenn Kennel,et al.  Contrast sensitivity experiment to determine the bit depth for digital cinema , 2004 .

[20]  Michael H. Brill,et al.  Color appearance models , 1998 .

[21]  I. H. Godlove,et al.  Neutral Value Scales. I. Munsell Neutral Value1 Scale , 1933 .

[22]  S. Hecht,et al.  THE VISUAL DISCRIMINATION OF INTENSITY AND THE WEBER-FECHNER LAW , 1924, The Journal of general physiology.

[23]  M. Brill.  DO TRISTIMULUS VALUES HAVE UNITS , 1996 .

[24]  Robert W. G. Hunt.  THE HEIGHTS OF THE CIE COLOUR-MATCHING FUNCTIONS , 1997 .

[25]  H. E. Kallmann.  The Gradation of Television Pictures , 1940, Proceedings of the IRE.

[26]  Ralf Schafer,et al.  HDTV Colorimetry and Gamma considering the Visibility of Noise and Quantization Errors , 1987 .

[27]  B.M. Oliver.  Tone Rendition in Television , 1950, Proceedings of the IRE.

[28]  Edward J. Giorgianni,et al.  Digital Color Management: Encoding Solutions , 1998 .

[29]  Brian A. Wandell,et al.  Rendering high dynamic range images , 2000, Electronic Imaging.

[30]  Oleg S. Pianykh,et al.  Digital Imaging and Communications in Medicine (DICOM) , 2017, Radiopaedia.org.

[31]  Mahdi Nezamabadi,et al.  Color Appearance Models , 2014, J. Electronic Imaging.

[32]  Steffen Beich,et al.  Digital Video And Hdtv Algorithms And Interfaces , 2016 .