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Image coding using robust quantization for noisy digital transmission

delete1998-04-01
delete26
PRE
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Q
Qitao Chen *
T
T.R. Fischer
DOI:10.1109/83.663494delete
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Abstract

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
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Journal

IEEE Transactions on Image Processing cover
IEEE Transactions on Image Processing
IF:
13.7
Papers:
1.0W
Citations:
8.4W

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