Error correcting arithmetic coding for JPEG 2000: memory and performance analysis
MobiMedia '06 Proceedings of the 2nd international conference on Mobile multimedia communications
A Fast and Fully Format Compliant Protection of JPEG2000 Code-Streams
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
Efficient implementation techniques for maximum likelihood-based error correction for JPEG2000
IEEE Transactions on Circuits and Systems for Video Technology
Adaptive chosen-ciphertext attack on secure arithmetic coding
IEEE Transactions on Signal Processing
A novel UEP algorithm based on error resilient arithmetic code
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
A feasible VLSI engine for soft-input-soft-output for joint source channel codes
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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JPEG 2000 is the novel ISO standard for image and video coding. Besides its improved coding efficiency, it also provides a few error resilience tools in order to limit the effect of errors in the codestream, which can occur when the compressed image or video data are transmitted over an error-prone channel, as typically occurs in wireless communication scenarios. However, for very harsh channels, these tools often do not provide an adequate degree of error protection. In this paper, we propose a novel error-resilience tool for JPEG 2000, based on the concept of ternary arithmetic coders employing a forbidden symbol. Such coders introduce a controlled degree of redundancy during the encoding process, which can be exploited at the decoder side in order to detect and correct errors. We propose a maximum likelihood and a maximum a posteriori context-based decoder, specifically tailored to the JPEG 2000 arithmetic coder, which are able to carry out both hard and soft decoding of a corrupted codestream. The proposed decoder extends the JPEG 2000 capabilities in error-prone scenarios, without violating the standard syntax. Extensive simulations on video sequences show that the proposed decoders largely outperform the standard in terms of PSNR and visual quality.