Good Codes Based on Very Sparse Matrices
Proceedings of the 5th IMA Conference on Cryptography and Coding
AN EFFICIENT JOINT SOURCE-CHANNEL RATE ALLOCATION SCHEME FOR JPEG2000 CODESTREAMS
DCC '03 Proceedings of the Conference on Data Compression
Good error-correcting codes based on very sparse matrices
IEEE Transactions on Information Theory
Turbo codes for image transmission-a joint channel and source decoding approach
IEEE Journal on Selected Areas in Communications
An adaptive source-channel coding with feedback for progressive transmission of medical images
International Journal of Telemedicine and Applications - Special issue on electronic health
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A joint source-channel decoding method is designed to accelerate the iterative log-domain sum-product decoding procedure of LDPC codes as well as to improve the reconstructed image quality. Error resilience modes are used in the JPEG2000 source codec making it possible to provide useful source decoded information to the channel decoder. After each iteration, a tentative decoding is made and the channel decoded bits are then sent to the JPEG2000 decoder. The positions of bits belonging to error-free coding passes are then fed back to the channel decoder. The log-likelihood ratios (LLRs) of these bits are then modified by a weighting factor for the next iteration. By observing the statistics of the decoding procedure, the weighting factor is designed as a function of the channel condition. Results show that the proposed joint decoding methods can greatly reduce the number of iterations, and thereby reduce the decoding delay considerably. At the same time, this method always outperforms the nonsource controlled decoding method by up to 3 dB in terms of PSNR.