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Mark D. Fairchild; Color appearance models: splicing color science and practical applications. Journal of Vision 2004;4(11):26. doi: 10.1167/4.11.26.
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© ARVO (1962-2015); The Authors (2016-present)
Often in vision science researchers strive to collect data and create models for specific physiological mechanisms or psychophysical properties of color vision. Computational approaches often explore fundamental limits to visual (human or machine) performance for certain tasks, such as color constancy. From another perspective, color scientists often have very pragmatic issues to solve such as producing or reproducing color images or materials. Color appearance models have developed to predict overall human perception of color in widely varying viewing conditions and are applied to practical problems such as digital image printing. Such models generally bear little resemblance to known physiology, but rather aim to predict overall psychophysical performance. They also aim to predict what is seen, not what is not seen. This presentation will briefly review perspectives on color appearance from vision science, colorimetry, and color science. Some historical context will be presented leading up to the recent development of a new CIE color appearance model, CIECAM02. The basic structure of CIECAM02 will be discussed. Future directions in color and image appearance modeling will be described and examples of practical applications of these models to problems in the imaging industry will be illustrated.
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