Context conditioning and run-length coding for hybrid, embedded progressive image coding.
An analysis of spatial context conditioning and run-length coding in embedded progressive, wavelet-based image coding is presented. The analysis shows that run-length coding of certain context subsequences is superior to pure entropy coding, both in terms of coding performance and of execution speed. Based on these considerations, a novel, intuitive context conditioning scheme using a spatial distance model to describe the statistics of significant coefficients is proposed. The results for the proposed coding scheme are competitive to the best coding schemes found in the literature.
Berghom
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Center for Med. Diagnostic Syst. and Visualization, Bremen, Germany. wilhelm.berghorn@mevis.de
Boskamp
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Lang
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Peitgen
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