Elements of information theory
Elements of information theory
DCC '97 Proceedings of the Conference on Data Compression
Distributed Source Coding Using Syndromes (DISCUS): Design and Construction
DCC '99 Proceedings of the Conference on Data Compression
Filtering random noise from deterministic signals via datacompression
IEEE Transactions on Signal Processing
Systematic lossy source/channel coding
IEEE Transactions on Information Theory
On denoising and best signal representation
IEEE Transactions on Information Theory
High-rate quantization and transform coding with side information at the decoder
Signal Processing - Special section: Distributed source coding
Distributed coding of highly correlated image sequences with motion-compensated temporal wavelets
EURASIP Journal on Applied Signal Processing
Rate-constrained collaborative noise reduction for wireless hearing aids
IEEE Transactions on Signal Processing
Robust video transmission with distributed source coded auxiliary channel
IEEE Transactions on Image Processing
Cross-layer coding improves quality and security in wireless video sensor networks
Proceedings of the First International Conference on Security of Internet of Things
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Abstract: In this work we address digital transmission for enhancing, in a backward compatible way, the quality of analog image transmission systems. We propose a practical algorithm that treats the problem as one of wavelet image compression with side information (available in the form of a noisy analog version of the image) present at the decoder. We propose a rate allocation technique to efficiently allocate the rate among the wavelet coefficients of the image. In typical instances of the problem, we get gains up to 2.5 dB over conventional methods that ignore the side information. Surprisingly, this is typically achieved by modifying a very small fraction of the wavelet coefficients (typically around 10-20 %) of the conventional source coder. Extensions of our proposed image transmission framework to that of video transmission finds application in the upgrade of current analog television broadcast systems to digital TV.