Paper Info
Title
Chase-Like Decoding of Arithmetic Codes with Image Transmission Applications
Abstract
Several recent contributions have demonstrated that Joint Source/ Channel (JSC) decoding could be a powerful technique to make error correction in the case of transmission of entropy encoded streams. This paper addresses a new scheme for JSC decoding of Arithmetic Codes (AC) based on Maximum A Posteriori (MAP) sequence estimation. The proposed algorithm performs Chase-like decoding using a priori knowledge of the source symbol sequence and the compressed bit stream lengths. Simulation results show that the proposed decoding algorithm leads to significant performance gain in comparison with classical arithmetic decoding, while exhibiting very low complexity. The practical relevance of the proposed technique is validated in the case of image transmission across the AWGN channel. Lossless and lossy image compression schemes were considered, and the Chase-like arithmetic decoder shows excellent results.
Year
DOI
Venue
2009
10.1109/SITIS.2009.41
SITIS
Keywords
Field
DocType
image transmission applications,arithmetic codes,image transmission,proposed technique,proposed decoding algorithm,classical arithmetic decoding,chase-like decoding,lossy image compression scheme,awgn channel,chase-like arithmetic decoder,proposed algorithm,jsc decoding,measurement,image quality,maximum likelihood sequence estimation,encoding,arithmetic coding,error correction,redundancy,visual communication,viterbi algorithm,a priori knowledge,decoding,image compression
Berlekamp–Welch algorithm,Sequential decoding,Computer science,Arithmetic,Error detection and correction,Decoding methods,List decoding,Arithmetic coding,Image compression,Lossless compression
Conference
Citations 
PageRank 
References 
1
0.35
13
Authors
4
Name
Order
Citations
PageRank
Amin Zribi141.76
Sonia Zaibi2102.59
Ramesh Pyndiah37917.12
Ammar Bouallégue45725.00