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

Volume

53

Issue

2

fYear

2005

fDate

2/1/2005 12:00:00 AM

Firstpage

728

Lastpage

733

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;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/TSP.2004.840713

Filename

1381764