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Proceedings Paper

Adaptive color correction based on object color classification
Author(s): Hiroaki Kotera; Tetsuro Morimoto; Nobuyuki Yasue; Ryoichi Saito
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Paper 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.

Paper Details

Date Published: 7 September 1998
PDF: 8 pages
Proc. SPIE 3409, Electronic Imaging: Processing, Printing, and Publishing in Color, (7 September 1998); doi: 10.1117/12.324119
Show Author Affiliations
Hiroaki Kotera, Chiba Univ. (Japan)
Tetsuro Morimoto, Chiba Univ. (Japan)
Nobuyuki Yasue, Chiba Univ. (Japan)
Ryoichi Saito, Chiba Univ. (Japan)

Published in SPIE Proceedings Vol. 3409:
Electronic Imaging: Processing, Printing, and Publishing in Color
Jan Bares, Editor(s)

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