Regularised restoration of vector quantisation compressed images

S. S.O. Choy, Yuk Hee Chan, W. C. Siu

Research output: Journal article publicationJournal articleAcademic researchpeer-review


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.
Original languageEnglish
Pages (from-to)165-171
Number of pages7
JournalIEE Proceedings: Vision, Image and Signal Processing
Issue number3
Publication statusPublished - 1 Dec 1999

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering


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