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Image transmission over the polya channel via channel-optimized quantization

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3 Author(s)
Behnamfar, F. ; Dept. of Electr. & Comput. Eng., Queen''s Univ., Canada ; Alajaji, F. ; Linder, T.

We introduce two progressive methods for image transmission over binary channels with additive bursty noise modeled by the finite-memory Polya (contagion) channel. The methods, which are based on channel-optimized scalar quantization (COSQ) of the wavelet transform coefficients, exploit channel memory to offer superior performance over a number of more complex systems designed for the fully interleaved channel.

Published in:

Signal Processing, IEEE Transactions on  (Volume:53 ,  Issue: 2 )