A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
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
Progressive Image Communication over Binary Channels with Additive Bursty Noise
DCC '02 Proceedings of the Data Compression Conference
EURASIP Journal on Applied Signal Processing
Journal of Visual Communication and Image Representation
Hi-index | 0.00 |
This paper describes a methodology for evaluating the rate-distortion behavior of combined source and channel coding schemes with particular application to images. We demonstrate use of the operational rate-distortion function to obtain the optimum tradeoff between source coding accuracy and channel error protection under the constraint of a fixed transmission bandwidth. Furthermore, we develop information-theoretic bounds on performance and demonstrate that our combined source-channel coding methodology results in rate-distortion performance which closely approaches these theoretical limits. We concentrate specifically on a wavelet-based subband source coding scheme and the use of binary rate-compatible punctured convolutional (RCPC) codes for transmission over the additive white Gaussian noise (AWGN) channel.