DocumentCode :
3265182
Title :
Robust quantization for image coding and noisy digital transmission
Author :
Chen, Qing ; Fischer, Thomas R.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
fYear :
1996
fDate :
Mar/Apr 1996
Firstpage :
3
Lastpage :
12
Abstract :
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
Keywords :
all-pass filters; decoding; digital communication; error correction codes; filtering theory; image coding; memoryless systems; noise; quantisation (signal); source coding; telecommunication channels; visual communication; Gaussian COSQ; PSNR performance; all-pass filtering; binary phase-scrambling/descrambling method; binary symmetric channel; channel bit error rate; channel optimized scalar quantization; error protection code; image coding; image transmission; memoryless Gaussian source; memoryless source encoding; noisy digital transmission; performance; robust quantization; side information; Bit error rate; Design optimization; Encoding; Filtering; Image coding; Laplace equations; Protection; Quantization; Robustness; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 1996. DCC '96. Proceedings
Conference_Location :
Snowbird, UT
ISSN :
1068-0314
Print_ISBN :
0-8186-7358-3
Type :
conf
DOI :
10.1109/DCC.1996.488305
Filename :
488305
Link To Document :
بازگشت