Title :
Image transmission over the polya channel via channel-optimized quantization
Author :
Behnamfar, Firouz ; Alajaji, Fady ; Linder, Tamás
Author_Institution :
Dept. of Electr. & Comput. Eng., Queen´´s Univ., Canada
fDate :
2/1/2005 12:00:00 AM
Abstract :
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.
Keywords :
channel coding; image coding; optimisation; telecommunication channels; transform coding; wavelet transforms; additive bursty noise; binary channel; channel memory; channel-optimized scalar quantization; convolutional code; image coding; image transmission; interleaved channel; joint source-channel coding; polya channel; progressive method; subband coding; wavelet transform coefficient; Additive noise; Channel coding; Convolutional codes; Data compression; Discrete wavelet transforms; Image coding; Image communication; Interleaved codes; Protection; Quantization; Channel optimized scalar quantization; channels with memory; convolutional codes; joint source-channel coding; subband coding;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2004.840713
