Fundamentals of Convolutional Coding
Fundamentals of Convolutional Coding
DCC '97 Proceedings of the Conference on Data Compression
Progressive Image Coding on Noisy Channels
DCC '97 Proceedings of the Conference on Data Compression
Rate-distortion performance for joint source and channel coding of images
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Hadamard-based soft decoding for vector quantization over noisy channels
IEEE Transactions on Information Theory
The JPEG2000 still image coding system: an overview
IEEE Transactions on Consumer Electronics
Image coding using robust quantization for noisy digital transmission
IEEE Transactions on Image Processing
An error resilient scheme for image transmission over noisy channels with memory
IEEE Transactions on Image Processing
Progressive transmission of images using MAP detection over channels with memory
IEEE Transactions on Image Processing
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Robust joint source-channel coding for image transmission over wireless channels
IEEE Transactions on Circuits and Systems for Video Technology
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A progressive method for transmission of images over a bursty noise channel is presented. It is based on discrete wavelet transform (DWT) coding and channel-optimized scalar quantization. The main advantage of the proposed system is that it exploits the channel memory and hence has superior performance over a similar scheme designed for the equivalent memoryless channel through the use of channel interleaving. In fact, the performance of the proposed system improves as the noise becomes more correlated, at a fixed bit error rate. Comparisons are made with other alternatives which employ independent source and channel coding over the fully interleaved channel at various bit rates and bit error rates. It is shown that the proposed method outperforms these substantially more complex systems for the whole range of considered bit rates and for a wide range of channel conditions.