DocumentCode :
329513
Title :
Progressive lossless image coding via self-referential partitions
Author :
Kieffer, J.C. ; Park, T.H. ; Xu, Y. ; Yakowitz, S.J.
Author_Institution :
Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA
Volume :
1
fYear :
1998
fDate :
4-7 Oct 1998
Firstpage :
498
Abstract :
In a given binary image, we identify two disjoint sets of image subblocks of varying size which we call range blocks and domain blocks. The range blocks form a partition of the image called a self-referential partition because each range block is represented via a pointer to a matching domain block. The encoder transmits encoded versions of these pointers together with one pixel from each domain block. This information, when decoded, allows progressive reconstruction of the image. On several archival images, our progressive lossless image coder gave better compression performance than that provided by the 2-D Lempel-Ziv (1986) algorithm, multi-window quadtree coding, and Huffman coding of runlengths. The progressive image coder is fast and has a worst-case redundancy performance better than the best currently known worst-case redundancy upper bound for the 2-D Lempel-Ziv algorithm
Keywords :
data compression; decoding; image coding; image reconstruction; 2D Lempel-Ziv algorithm; Huffman coding; archival images; binary image; compression performance; decoding; domain blocks; encoder; image size; image subblocks; multi-window quadtree coding; pixel; progressive image reconstruction; progressive lossless image coding; range blocks; runlength coding; self-referential partitions; worst-case redundancy performance; worst-case redundancy upper bound; Decoding; Huffman coding; Image coding; Image reconstruction; Image resolution; Operations research; Pixel; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
Type :
conf
DOI :
10.1109/ICIP.1998.723544
Filename :
723544
Link To Document :
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