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

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3 Author(s)
Pepin, C. ; Docomo Commun. Labs. USA Inc, San Jose, CA, USA ; Raffy, P. ; Gray, R.M.

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.

Published in:

Signal Processing Letters, IEEE  (Volume:9 ,  Issue: 7 )

Date of Publication:

July 2002

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