DocumentCode
325942
Title
Joint channel and source decoding for vector quantized images using turbo codes
Author
Zhishi Peng ; Yih-Fang Huang ; Costello, D.J. ; Stevenson, R.L.
Author_Institution
Dept. of Electr. Eng., Notre Dame Univ., IN, USA
Volume
4
fYear
1998
fDate
May 31 1998-June 3 1998
Firstpage
5
Abstract
This paper presents a novel joint decoding scheme for image transmission over noisy channels. The proposed decoding scheme includes two features of interaction between a turbo channel decoder and a vector quantization source decoder. First, the source decoder makes use of the channel soft outputs for better reconstruction; second, a feedback algorithm is designed for using source information to improve the error correction capability of the turbo decoder. Significant improvement in terms of the error correction capability and the quality of reconstructed images is achieved compared to a separately operating decoding system.
Keywords
decoding; error correction; feedback; image reconstruction; source coding; vector quantisation; channel decoding; error correction capability; feedback algorithm; image transmission; noisy channels; quality; reconstruction; soft outputs; source decoding; turbo codes; vector quantized images; Bit error rate; Channel coding; Error correction; Image coding; Image communication; Image reconstruction; Iterative decoding; Protection; Signal analysis; Turbo codes;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
Conference_Location
Monterey, CA
Print_ISBN
0-7803-4455-3
Type
conf
DOI
10.1109/ISCAS.1998.698737
Filename
698737
Link To Document