Journal of VLSI Signal Processing Systems - Special issue on multimedia signal processing
An overview of scalar quantization based data hiding methods
Signal Processing
Channel Coding in the Presence of Side Information
Foundations and Trends in Communications and Information Theory
Embedding Renewable Cryptographic Keys into Continuous Noisy Data
ICICS '08 Proceedings of the 10th International Conference on Information and Communications Security
Successively Structured Gaussian Two-terminal Source Coding
Wireless Personal Communications: An International Journal
IEICE - Transactions on Information and Systems
On the designs and challenges of practical binary dirty paper coding
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
On the tightness of Marton's regions for semi-additive broadcast channels
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
Information embedding with reversible stegotext
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
Joint Wyner-Ziv/dirty-paper coding by modulo-lattice modulation
IEEE Transactions on Information Theory
Coding and common reconstruction
IEEE Transactions on Information Theory
Low-density graph codes that are optimal for binning and coding with side information
IEEE Transactions on Information Theory
Polar codes are optimal for lossy source coding
IEEE Transactions on Information Theory
On the robustness of dirty paper coding
IEEE Transactions on Communications
Near-optimal codes for information embedding in gray-scale signals
IEEE Transactions on Information Theory
IEEE Transactions on Communications
On the achievable rate of side informed embedding techniques with steganographic constraints
IWDW'05 Proceedings of the 4th international conference on Digital Watermarking
On achievable regions of public multiple-access gaussian watermarking systems
IH'04 Proceedings of the 6th international conference on Information Hiding
Hi-index | 755.14 |
Aspects of the duality between the information-embedding problem and the Wyner-Ziv (1976) problem of source coding with side information at the decoder are developed and used to establish a spectrum new results on these and related problems, with implications for a number of important applications. The single-letter characterization of the information-embedding problem is developed and related to the corresponding characterization of the Wyner-Ziv problem, both of which correspond to optimization of a common mutual information difference. Dual variables and dual Markov conditions are identified, along with the dual role of noise and distortion in the two problems. For a Gaussian context with quadratic distortion metric, a geometric interpretation of the duality is developed. From such insights, we develop a capacity-achieving information-embedding system based on nested lattices. We show the resulting encoder-decoder has precisely the same decoder-encoder structure as the corresponding Wyner-Ziv system based on nested lattices that achieves the rate-distortion limit. For a binary context with Hamming distortion metric, the information-embedding capacity is developed, along with its relationship to the corresponding Wyner-Ziv rate-distortion function. In turn, an information-embedding system for this case based on nested linear codes is constructed having an encoder-decoder that is identical to the decoder-encoder structure for the corresponding system that achieves the Wyner-Ziv rate-distortion limit. Finally, based on these results, a simple layered joint source-channel coding system is developed with a perfectly symmetric encoder-decoder structure. Its application and performance is discussed in a broadcast setting in which there is a need to control the fidelity experienced by different receivers. Among other results, we show that such systems and their multilayer extensions retain attractive optimality properties in the Gaussian-quadratic case, but not in the binary-Hamming case.