Analysis of Spatio-chromatic Decorrelation for Colour Image Reconstruction
Color Imaging Conference, Scottsdale AZ, Nov., 2004, pp.87-92.

Mark S. Drew and Steven Bergner
School of Computing Science, Simon Fraser University,
Vancouver, B.C. Canada V5A 1S6
{mark, sbergner}

Table of Contents

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We investigate the implications of a unified spatio-chromatic basis for image compression and reconstruction. Different adaptive and general methods (PCA, ICA, and DCT) are applied to generate bases. While typically such bases with spatial extent are investigated in terms of their correspondence to human visual perception, we are interested in their applicability to multimedia encoding. The performance of the extracted spatio-chromatic spatial patch bases is evaluated in terms of quality of reconstruction with respect to their potential for data compression. The results discussed here are intended to provide another path towards perceptually-based encoding of visual data. This leads to a deeper understanding of the role played by chromatic features in data reduction.


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