DocumentCode :
1256439
Title :
Regularised restoration of vector quantisation compressed images
Author :
Choy, S.S.O. ; Chan, Y.-H. ; Siu, W.C.
Author_Institution :
Dept. of Electron. & Inf. Eng., Hong Kong Polytech., Hung Hom, Hong Kong
Volume :
146
Issue :
3
fYear :
1999
fDate :
6/1/1999 12:00:00 AM
Firstpage :
165
Lastpage :
171
Abstract :
The authors study the application of image restoration technology in improving the coding performance of a vector quantisation (VQ) image compression codec. Restoration of VQ-compressed images is rarely addressed in the literature, and direct applications of existing restoration techniques are generally inadequate to deal with this problem. A restoration algorithm is proposed, specific to VQ-compressed images, that makes good use of the codebook to derive useful a priori information for restoration. The proposed restoration algorithm is shown to be capable of improving the quality of a VQ-compressed image to a much greater extent, compared with other existing restoration approaches. As no extra information, other than the codebook, is required to carry out the restoration with the proposed algorithm, no transmission overhead is necessary and hence, it can be fully compatible with any VQ codec when used to improve coding performance
Keywords :
codecs; image coding; image restoration; vector quantisation; VQ-compressed images; a priori information; coding performance improvement; image coding; image compression codec; image restoration; regularised restoration; vector quantisation;
fLanguage :
English
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
Publisher :
iet
ISSN :
1350-245X
Type :
jour
DOI :
10.1049/ip-vis:19990161
Filename :
799047
Link To Document :
بازگشت