- Research Article
- Open Access
Progressive Image Transmission Based on Joint Source-Channel Decoding Using Adaptive Sum-Product Algorithm
EURASIP Journal on Image and Video Processing volume 2007, Article number: 069805 (2007)
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.
Banister BA, Belzer B, Fischer TR: Robust image transmission using JPEG2000 and turbo-codes. Proceedings of the International Conference on Image Processing (ICIP '00), September 2000, Vancouver, BC, Canada 1: 375-378.
Wu Z, Bilgin A, Marcellin MW: An efficient joint source-channel rate allocation scheme for JPEG2000 codestreams. Proceedings of Data Compression Conference (DCC' 03), March 2003, Snowbird, Utah, USA 113-122.
Liu W, Daut DG: An adaptive UEP transmission system for JPEG2000 codestream using RCPT codes. Proceedings of 38th Asilomar Conference on Signals, Systems and Computers, November 2004, Pacific Grove, Calif, USA 2: 2265-2269.
Hagenauer J: Source-controlled channel decoding. IEEE Transactions on Communications 1995,43(9):2449-2457. 10.1109/26.412719
Görtz N: A generalized framework for iterative source-channel decoding. In Turbo Codes, Error-Correcting Codes of Widening Application. Edited by: Jézéquel M, Pyndiah R. Kogan Pade Science; 2003:105-126.
Brink ST: Convergence of iterative decoding. Electronics Letters 1999,35(10):806-808. 10.1049/el:19990555
Brink ST: Convergence behavior of iteratively decoded parallel concatenated codes. IEEE Transactions on Communications 2001,49(10):1727-1737. 10.1109/26.957394
Hindelang T, Fingscheidt T, Seshadri N, Cox RV: Combined source/channel (de-)coding: can a priori information be used twice? Proceedings of IEEE International Symposium on Information Theory, June 2000, Sorrento, Italy 266.
Adrat M, Vary P, Spittka J: Iterative source-channel decoder using extrinsic information from softbit-source decoding. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '01), May 2001, Salt Lake, Utah, USA 4: 2653-2656.
Laković K, Villasenor J: On reversible variable length codes with turbo codes, and iterative source-channel decoding. Proceedings of IEEE International Symposium on Information Theory, June-July 2002, Lausanne, Switzerland 170.
Adrat M, von Agris U, Vary P: Convergence behavior of iterative source-channel decoding. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '03), April 2003, Hong Kong 4: 269-272.
Peng Z, Huang Y-F, Costello DJ Jr.: Turbo codes for image transmission—a joint channel and source decoding approach. IEEE Journal on Selected Areas in Communications 2000,18(6):868-879. 10.1109/49.848241
Gallager RG: Low-density parity-check codes. IRE Transactions on Information Theory 1962,8(1):21-28. 10.1109/TIT.1962.1057683
MacKay DJC: Good error-correcting codes based on very sparse matrices. IEEE Transactions on Information Theory 1999,45(2):399-431. 10.1109/18.748992
Lechner G, Sayir J: On the convergence of log-likelihood values in iterative decoding. Proceedings of Mini-Workshop on Topics in Information Theory, September 2002, Essen, Germany 1-4.
Lechner G: Convergence of sum-product algorithm for finite length low-density parity-check codes. Proceedings of Winter School on Coding and Information Theory, February 2003, Monte Verita, Switzerland
Ardakani M, Chan TH, Kschischang FR: EXIT-chart properties of the highest-rate LDPC code with desired convergence behavior. IEEE Communications Letters 2005,9(1):52-54. 10.1109/LCOMM.2005.1375239
Pu L, Wu Z, Bilgin A, Marcellin MW, Vasic B: Iterative joint source/channel decoding for JPEG2000. Proceedings of the 37th Asilomar Conference on Signals, Systems and Computers, November 2003, Pacific Grove, Calif, USA 2: 1961-1965.
Tanner RM: A recursive approach to low complexity codes. IEEE Transactions on Information Theory 1981,27(5):533-547. 10.1109/TIT.1981.1056404
MacKay DJC, Neal RM: Good codes based on very sparse matrices. In Cryptography and Coding: 5th IMA Conference, Lecture Notes in Computer Science, no. 1025. Edited by: Boyd C. Springer; 1995:100-111.
Rights and permissions
Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
About this article
Cite this article
Liu, W., Daut, D. Progressive Image Transmission Based on Joint Source-Channel Decoding Using Adaptive Sum-Product Algorithm. J Image Video Proc 2007, 069805 (2007). https://doi.org/10.1155/2007/69805
- Weighting Factor
- LDPC Code
- Decode Method
- Decode Procedure
- Error Resilience