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Data Compression Conference (DCC '96)
Robust Quantization for Image Coding and Noisy Digital Transmission
Snowbird, UT
March 31-April 03
ISBN: 0-8186-7358-3
ASCII Text
x 
 
Q. Chen, T.R. Fischer, "Robust Quantization for Image Coding and Noisy Digital Transmission," Data Compression Conference, pp. 3, Data Compression Conference (DCC '96), 1996.
 
 
BibTex
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@article{ 10.1109/DCC.1996.488305,
author = {Q. Chen and T.R. Fischer},
title = {Robust Quantization for Image Coding and Noisy Digital Transmission},
journal ={Data Compression Conference},
volume = {0},
year = {1996},
issn = {1068-0314},
pages = {3},
doi = {http://doi.ieeecomputersociety.org/10.1109/DCC.1996.488305},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Compression Conference
TI - Robust Quantization for Image Coding and Noisy Digital Transmission
SN - 1068-0314
SP
EP
A1 - Q. Chen,
A1 - T.R. Fischer,
PY - 1996
KW - image coding; quantisation (signal); source coding; memoryless systems; telecommunication channels; error correction codes; visual communication; digital communication; noise; filtering theory; all-pass filters; decoding; noisy digital transmission; robust quantization; memoryless source encoding; binary symmetric channel; channel optimized scalar quantization; all-pass filtering; binary phase-scrambling/descrambling method; performance; Gaussian COSQ; memoryless Gaussian source; image coding; image transmission; error protection code; side information; PSNR performance; channel bit error rate
VL - 0
JA - Data Compression Conference
ER -
 
A robust quantizer is developed for encoding a variety of 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 for image coding for transmission over a BSC. An explicit error protection code is used only to protect the side information. The PSNR performance degrades gracefully as the channel bit error rate increases.
Index Terms:
image coding; quantisation (signal); source coding; memoryless systems; telecommunication channels; error correction codes; visual communication; digital communication; noise; filtering theory; all-pass filters; decoding; noisy digital transmission; robust quantization; memoryless source encoding; binary symmetric channel; channel optimized scalar quantization; all-pass filtering; binary phase-scrambling/descrambling method; performance; Gaussian COSQ; memoryless Gaussian source; image coding; image transmission; error protection code; side information; PSNR performance; channel bit error rate
Citation:
Q. Chen, T.R. Fischer, "Robust Quantization for Image Coding and Noisy Digital Transmission," dcc, pp.3, Data Compression Conference (DCC '96), 1996
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