DocumentCode
820340
Title
A distributed source coding technique for correlated images using turbo-codes
Author
Liveris, Angelos D. ; Xiong, Zixiang ; Georghiades, Costas N.
Author_Institution
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Volume
6
Issue
9
fYear
2002
Firstpage
379
Lastpage
381
Abstract
The Slepian-Wolf (1973) theorem states that the output of two correlated sources can be compressed to the same extent without loss, whether they communicate with each other or not, provided that decompression takes place at a joint decoder. We present a distributed source coding scheme for correlated images which uses modulo encoding of pixel values and encoding (compression) of the resulting symbols with binary and nonbinary turbo-codes, so that larger rate savings than using modulo encoding. alone are achieved, practically without loss.
Keywords
binary codes; correlation methods; decoding; distributed processing; image coding; source coding; turbo codes; Slepian-Wolf theorem; binary turbo codes; correlated images; correlated sources; distributed source coding; image compression; joint decoder; modulo encoding; nonbinary turbo codes; pixel values; Boats; Channel coding; Decoding; Encoding; Gaussian noise; Image coding; Interleaved codes; Pixel; Source coding; Turbo codes;
fLanguage
English
Journal_Title
Communications Letters, IEEE
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/LCOMM.2002.803479
Filename
1033198
Link To Document