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
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;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2002.803479