Robust stack-run coding for low bit-rate image transmission over noisy channels

We propose a multiresolution algorithm to jointly optimize a source coder and channel coder. The variable-rate source coder combines an optimal bit-allocation strategy and efficient stack-run coding. This compression scheme, concatenated with appropriate rate-compatible punctured convolutional codes...

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Bibliographic Details
Published in:IEEE signal processing letters Vol. 9; no. 7; pp. 196 - 199
Main Authors: Pepin, C., Raffy, P., Gray, R.M.
Format: Journal Article
Language:English
Published: New York IEEE 01.07.2002
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Channel coding
Channels
Coders
Coding
Compressing
Concatenated codes
Convolution
Convolutional codes
Decoding
Image coding
Image communication
Laboratories
Optimization
Partitioning algorithms
Robustness
State of the art
Strategy
ISSN:1070-9908, 1558-2361
Online Access:Get full text
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Summary:We propose a multiresolution algorithm to jointly optimize a source coder and channel coder. The variable-rate source coder combines an optimal bit-allocation strategy and efficient stack-run coding. This compression scheme, concatenated with appropriate rate-compatible punctured convolutional codes, provides a competitive approach to state-of-the-art extensions of zerotree methods to noisy channels. Results show that under the assumption of almost zero probability of decoding error, the proposed scheme provides good performance for a lower complexity.
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ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2002.801717