A factor graph framework for joint source-channel decoding of images

Author

Kozintsev, Igor ; Koetter, Ralf ; Ramchandran, Kannan

Author_Institution

Illinois Univ., Urbana, IL, USA

Volume

1

fYear

1999

fDate

24-27 Oct. 1999

Firstpage

321

Abstract

We propose a framework for iterative joint source-channel decoding for communication with a fidelity criterion. We consider a class of source models that are used in current state-of-the-art transform image coding schemes. We construct a global graphical model that includes both the channel coding redundancy and the source model and we apply the sum-product algorithm to estimate the transmitted signal with minimum distortion. Our results show the promise of our framework for improving over existing techniques of digital communication.

Keywords

combined source-channel coding; digital communication; graph theory; hidden Markov models; image coding; iterative decoding; transform coding; channel coding redundancy; digital communication; factor graph; fidelity criterion; frame error rate; global graphical model; hidden Markov model; image decoding; iterative joint source-channel decoding; minimum distortion; source model; source models; sum-product algorithm; transform image coding; transmitted signal estimation; Channel coding; Communication systems; Digital communication; Distortion; Error correction codes; Graphical models; Iterative decoding; Redundancy; Source coding; Sum product algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-5700-0

Type

conf

DOI

10.1109/ACSSC.1999.832345

Filename

832345