Adaptive color correction based on object color classification

Hiroaki Kotera; Tetsuro Morimoto; Nobuyuki Yasue; Ryoichi Saito

doi:10.1117/12.324119

7 September 1998 Adaptive color correction based on object color classification

Hiroaki Kotera, Tetsuro Morimoto, Nobuyuki Yasue, Ryoichi Saito

Proceedings Volume 3409, Electronic Imaging: Processing, Printing, and Publishing in Color; (1998) https://doi.org/10.1117/12.324119
Event: SYBEN-Broadband European Networks and Electronic Image Capture and Publishing, 1998, Zurich, Switzerland

Abstract

An adaptive color management strategy depending on the image contents is proposed. Pictorial color image is classified into different object areas with clustered color distribution. Euclidian or Mahalanobis color distance measures, and maximum likelihood method based on Bayesian decision rule, are introduced to the classification. After the classification process, each clustered pixels are projected onto principal component space by Hotelling transform and the color corrections are performed for the principal components to be matched each other in between the individual clustered color areas of original and printed images.

Citation Download Citation

Hiroaki Kotera, Tetsuro Morimoto, Nobuyuki Yasue, and Ryoichi Saito "Adaptive color correction based on object color classification", Proc. SPIE 3409, Electronic Imaging: Processing, Printing, and Publishing in Color, (7 September 1998); https://doi.org/10.1117/12.324119

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