Context clustering in lossless compression of gray-scale image

Authors:
Mantao Xu;Pasi Fränti
Affiliations:
Department of Computer Science, University of Joensuu, Joensuu, Finland;Department of Computer Science, University of Joensuu, Joensuu, Finland
Venue:
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Year:
2003

Citing 5
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Abstract

We consider and evaluate the context clustering method for lossless image compression based on the existing LOCO-I algorithm used in JPEG-LS - the latest lossless image compression standard. We employ the LOCO-I Medpredictor to enroll the error pixels. The contexts are defined by calculating gradient of current pixels. The three directional gradients are quantized with different codebook size (7, 9, 19) respectively. The error pixels are then corrected and encoded by the clustered-contexts. A main advantage of using the context clustering method is that it can eliminate the storage of probability vector. An adaptive arithmetic encoder is also introduced to yield a higher compression rate.