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Proceedings Paper

Decorrelation of color images using total color difference
Author(s): Joe Zheng; Kimon P. Valavanis; John M. Gauch
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Paper Abstract

Numerous successful methodologies have been developed for gray scale image processing and analysis. However, their applications to color images are plagued because of the multi- dimensionality and intercorrelation of color images. In this paper, we examine the decorrelation of color images using the principal component analysis. Both global and local analyses are studied. To more efficiently decorrelate the images based on local features, a total color difference measurement is utilized to find the regions in which the decorrelation takes place. We call this dynamic decorrelation. Experiments are enclosed and comparisons of dynamic decorrelation with both global and local decorrelation are conducted.

Paper Details

Date Published: 1 November 1991
PDF: 11 pages
Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); doi: 10.1117/12.50362
Show Author Affiliations
Joe Zheng, United Parcel Service (United States)
Kimon P. Valavanis, Univ. of Southwestern Louisiana (United States)
John M. Gauch, Northeastern Univ. (United States)


Published in SPIE Proceedings Vol. 1606:
Visual Communications and Image Processing '91: Image Processing
Kou-Hu Tzou; Toshio Koga, Editor(s)

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