DocumentCode :
2926444
Title :
Nonlinear filters in joint source channel coding of images
Author :
Khayrallah, Ali S.
Author_Institution :
Dept. of Electr. Eng., Delaware Univ., Newark, DE, USA
fYear :
1995
fDate :
17-22 Sep 1995
Firstpage :
363
Abstract :
We address the problem of data compression and transmission applied to images. We present a differential pulse coded modulation (DPCM) scheme whose prediction filter is the Ll filter. We also present an ECC decoder which takes advantage of information to selectively filter reconstructed prediction difference sequence, using the weighted median filter. We apply our schemes to some test images, and we compare their performance to the appropriate baseline schemes. Our techniques exhibit a lot of resilience to noise, even for very noisy channels
Keywords :
channel coding; decoding; differential pulse code modulation; error correction codes; image coding; image reconstruction; median filters; prediction theory; source coding; visual communication; DPCM; ECC decoder; Ll filter; baseline schemes; data compression; data transmission; image coding; image transmission; joint source channel coding; noise resilience; nonlinear filters; performance; prediction filter; reconstructed prediction difference sequence; test images; very noisy channels; weighted median filter; Channel coding; Data compression; Decoding; Image reconstruction; Information filtering; Information filters; Modulation coding; Nonlinear filters; Pulse modulation; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
Conference_Location :
Whistler, BC
Print_ISBN :
0-7803-2453-6
Type :
conf
DOI :
10.1109/ISIT.1995.550350
Filename :
550350
Link To Document :
بازگشت