Progressive Image Communication over Binary Channels with Additive Bursty Noise
DCC '02 Proceedings of the Data Compression Conference
Recursive sub-image histogram equalization applied to gray scale images
Pattern Recognition Letters
Journal of Visual Communication and Image Representation
IEEE Transactions on Information Theory
| Hi-index | 0.07 |
A robust quantizer is developed for encoding memoryless sources and transmission over the binary symmetric channel (BSC). The system combines channel optimized scalar quantization (COSQ) with all-pass filtering, the latter performed using a binary phase-scrambling/descrambling method. Applied to a broad class of sources, the robust quantizer achieves the same performance as the Gaussian COSQ for the memoryless Gaussian source. This quantizer is used in image coding for transmission over a BSC. The peak signal-to-noise ratio (PSNR) performance degrades gracefully as the channel bit error rate increases