Product code optimization for determinate state LDPC decoding in robust image transmission.

Nikolaos Thomos; Nikolaos V Boulgouris; Michael G Strintzis

doi:10.1109/tip.2006.877433

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Product code optimization for determinate state LDPC decoding in robust image transmission.

Nikolaos Thomos·Nikolaos V Boulgouris·Michael G Strintzis

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Abstract

We propose a novel scheme for error-resilient image transmission. The proposed scheme employs a product coder consisting of low-density parity check (LDPC) codes and Reed-Solomon codes in order to deal effectively with bit errors. The efficiency of the proposed scheme is based on the exploitation of determinate symbols in Tanner graph decoding of LDPC codes and a novel product code optimization technique based on error estimation. Experimental evaluation demonstrates the superiority of the proposed system in comparison to recent state-of-the-art techniques for image transmission.

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Algorithms Artifacts Computer Communication Networks Data Compression Image Enhancement Image Interpretation, Computer-Assisted Quality Control Reproducibility of Results Sensitivity and Specificity Signal Processing, Computer-Assisted Journal Article Research Support, Non-U.S. Gov't

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Nikolaos Thomos, Nikolaos V Boulgouris, Michael G Strintzis. 2006. Product code optimization for determinate state LDPC decoding in robust image transmission.. https://doi.org/10.1109/tip.2006.877433

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