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A Numerical Minimization of Perceptual Error for the Linear Chromatic Adaptation Transform

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In this paper, new sensors for the chromatic adaptation transform (CAT) are found. They have been obtained by the independent numerical minimization of 6 perceptual error metrics over 16 corresponding color pair (CCP) data sets, including Lam's set, using as starting point for the minimization 4 known and commonly used sensors. An analysis of their performances has shown that the best performance is always achieved by the sensors resulting from the minimization process over Lam's data set. Some of these performances are statistically equivalent to – and even better than - those obtained using the CMCCAT2000 and the nonlinear Bradford transforms. This result reinforces both the use of Lam's set as a good representation for the other CCP data sets, and the efforts mentioned in the literature towards the removal of the nonlinearity of the CAT of the CIECAM97 model.
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Document Type: Research Article

Publication date: January 1, 2002

More about this publication?
  • Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual papers for details.

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