Return
Image coding using robust quantization for noisy digital transmission
DOI:10.1109/83.663494.png)
Abstract
En 中文
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.
Keywords:
combined source-channel coding
quantization
subband image coding
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
13.7
Papers:
1.0W
Citations:
8.4W
Organization
No organization information available

