Approximating the CIECAM02 color appearance model by means of neural networks
Chinese Optics Letters, Vol. 2, Issue 11, pp. 637-639 (2004)
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Abstract
An artificial neural network used to realize the approximating problem of the color appearance model (CAM) CIECAM02 in color management is demonstrated. GretagMacbeth ColorChecker Charts, which now are widely used in calibration of digital camera, are chosen as samples to implement the forward and reverse color appearance models. When the predictive results are evaluated, for forward model, the output color appearance space is converted to the uniform color space based on CAM and is evaluated, while for reverse model, because the prediction precision is insufficient, we try to convert the color appearance space, which is the cylinder space, to the cube space similar to the red, green, and blue (RGB) space, and the results show that the precision is obviously improved.
© 2005 Chinese Optics Letters
OCIS Codes
(330.1690) Vision, color, and visual optics : Color
(330.1720) Vision, color, and visual optics : Color vision
(330.1730) Vision, color, and visual optics : Colorimetry
Citation
Binghua Chai, Ningfang Liao, and Dazun Zhao, "Approximating the CIECAM02 color appearance model by means of neural networks," Chin. Opt. Lett. 2, 637-639 (2004)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-2-11-637
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