To view Erratum 1 please follow this link. Chromatic adaptation transforms are used to predict corresponding colours viewed under a different adapting illuminant. The scientists quickly identified environmental factors that influenced chromatic adaptation when people viewed images on a color monitor (e.g., the ambient light in the room). This publication corrects and replaces CIE 162:2004 "Chromatic Adaptation under Mixed Illumination Condition when Comparing Softcopy and Hardcopy Images". It includes a mathematical model for chromatic adaptation and provides appropriate parameters for the chromatic adaptation model under such viewing conditions. Furthermore, a histogram shifting method was introduced to make the red and blue histograms overlap with the green histogram as much as possible. It shows that accounting for mixed and incomplete chromatic adaptation produces more accurate results in colour appearance than not accounting for them. Photopic luminous efficiency functions are not fixed in spectral sensitivity but change with chromatic adaptation (e.g., De Vries, 1948b Eisner, 1982. This method introduced a pixel-adaptive color correction algorithm based on the SD of chromatic histograms, followed by a green-mean-preserving normalization technique. The focus of this report is to determine how colour imaging experts can best accommodate the desires and practices of these more casual observers. Further, users often desire to compare hardcopy and softcopy images using rapid successive binocular observations. Instead, these users tend to view softcopy in a room with sufficient ambient illumination to allow comfortable viewing and examination of hardcopy imaging. Unfortunately, the condition of complete chromatic adaptation usually does not occur in the consumer market and in more casual industrial use. The chromatic adaptation transforms (CATs) used in most colour appearance models (CAMs) assume that observers are fully adapted to a given set of viewing conditions.
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