Low complexity joint source-channel decoding for transmission of wavelet compressed images

作     者：殷玮玮 梅中辉 吴乐南 Yin Weiwei;Mei Zhonghui;Wu Lenan

作者机构：东南大学信息科学与工程学院南京210096 

出 版 物：《Journal of Southeast University(English Edition)》 (东南大学学报（英文版）)

年 卷 期：2006年第22卷第2期

页      码：148-152页

摘      要：To utilize residual redundancy to reduce the error induced by fading channels and decrease the complexity of the field model to describe the probability structure for residual redundancy, a simplified statistical model for residual redundancy and a low complexity joint source-channel decoding（JSCD） algorithm are proposed. The complicated residual redundancy in wavelet compressed images is decomposed into several independent 1-D probability check equations composed of Markov chains and it is regarded as a natural channel code with a structure similar to the low density parity check （LDPC） code. A parallel sum-product （SP） and iterative JSCD algorithm is proposed. Simulation results show that the proposed JSCD algorithm can make full use of residual redundancy in different directions to correct errors and improve the peak signal noise ratio （PSNR） of the reconstructed image and reduce the complexity and delay of JSCD. The performance of JSCD is more robust than the traditional separated encoding system with arithmetic coding in the same data rate.

主 题 词：joint source-channel decoding sum-product algorithm generalized distribution law wavelet compressed image 

学科分类：0810[工学-土木类] 08[工学] 081001[081001] 

核心收录：

D　O　I：10.3969/j.issn.1003-7985.2006.02.002

馆 藏 号：203501456...