A distributed source coding technique for correlated images using turbo-codes
- 7 November 2002
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Communications Letters
- Vol. 6 (9) , 379-381
- https://doi.org/10.1109/lcomm.2002.803479
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
This publication has 7 references indexed in Scilit:
- Coding for the Slepian-Wolf problem with turbo codesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Compression of correlated binary sources using turbo codesIEEE Communications Letters, 2001
- Distributed source coding using syndromes (DISCUS): design and constructionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1999
- On turbo decoding of nonbinary codesIEEE Communications Letters, 1998
- A soft-input soft-output APP module for iterative decoding of concatenated codesIEEE Communications Letters, 1997
- Channel coding with multilevel/phase signalsIEEE Transactions on Information Theory, 1982
- Noiseless coding of correlated information sourcesIEEE Transactions on Information Theory, 1973