Title :
Context conditioning and run-length coding for hybrid, embedded progressive image coding
Author :
Berghom, W. ; Boskamp, Tobias ; Lang, Markus ; Peitgen, Heinz-Otto
Author_Institution :
Center for Med. Diagnostic Syst. & Visualization, Bremen, Germany
fDate :
12/1/2001 12:00:00 AM
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
Keywords :
data compression; image coding; runlength codes; coding performance; context subsequences; embedded progressive wavelet-based image coding; execution speed; hybrid embedded progressive image coding; intuitive context conditioning scheme; run-length coding; runlength coding; significant coefficients; spatial context conditioning; spatial distance model; statistics; Clustering algorithms; Context modeling; Entropy coding; Image analysis; Image coding; Performance analysis; Statistics; Wavelet analysis; Wavelet coefficients; Wavelet transforms;
Journal_Title :
Image Processing, IEEE Transactions on
