Context conditioning and run-length coding for hybrid, embedded progressive image coding.
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- Record sourced from PubMed, PMID 18255519.
- Also identified by DOI 10.1109/83.974564.
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Abstract
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.