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}@cs.sfu.ca
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Abstract
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Abstract
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.
Slides
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