DocumentCode :
419683
Title :
Lossless data compression for image decomposition with recursive IDP algorithm
Author :
Milanova, Mariofanna ; Todorov, Vladimir ; Kountcheva, Roumiana
Author_Institution :
Dept. of Comput. Sci., Arkansas Univ., Little Rock, AR, USA
Volume :
2
fYear :
2004
fDate :
23-26 Aug. 2004
Firstpage :
823
Abstract :
Specific algorithms for lossless compression of the data, obtained after processing of halftone and color images with the inverse difference pyramid decomposition (IDP), are described in this paper. The basic steps of the IDP algorithm (coding and decoding) are defined, and the corresponding diagram for modified Huffman code generation is shown. The presented lossless run-length and modified Huffman algorithms are used together with a lossy image coding method, and are aimed at preserving the image quality after the IDP decomposition unchanged. Some practical results and comparison with the standard JPEG2000 are given also.
Keywords :
Huffman codes; data compression; image coding; image colour analysis; Huffman code generation; JPEG2000; color images; image decomposition; inverse difference pyramid decomposition; lossless data compression; recursive IDP algorithm; Color; Computer science; Data compression; Data engineering; Image coding; Image decomposition; Image quality; Image restoration; Pixel; Transform coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-2128-2
Type :
conf
DOI :
10.1109/ICPR.2004.1334385
Filename :
1334385
Link To Document :
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