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Volume: 5 | Article ID: art00034
Learning Color Appearance Models
  DOI :  10.2352/CIC.1997.5.1.art00034  Published OnlineJanuary 1997

We present a method for faithfully approximating the Hunt94, LLAB and RLAB color appearance models by means of feed-forward neural networks trained with the error back-propagation algorithm. In particular we present experimental evidence that in eight “standard” viewing conditions the same network architecture is capable of learning quite satisfactorily the transformations performed by the three models.

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E. Boldrin, P. Campadelli, R. Schettini, "Learning Color Appearance Modelsin Proc. IS&T 5th Color and Imaging Conf.,  1997,  pp 173 - 176,

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Copyright © Society for Imaging Science and Technology 1997
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