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Error-resilient transmission of compressed images over very noisy channels using soft-input source decoding

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2 Author(s)
Kliewer, J. ; Inst. for Circuits & Syst. Theory, Kiel Univ., Germany ; Gortz, Norbert

In this contribution we utilize an optimal estimation approach for error-resilient transmission of compressed images over AWGN channels. In contrast to other methods, we mainly rely on the implicit residual redundancy inherent in the subband images and the bit-reliability information at the channel output for error protection. It is shown that by including a priori knowledge about the spatial correlations in the subband images, we obtain a highly increased quality of the reconstructed image. This holds especially for very noisy channels and a mean-square estimation of the subband source coefficients.

Published in:

Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on  (Volume:2 )

Date of Conference:

Oct. 29 2000-Nov. 1 2000