Simultaneous coding artifact reduction and sharpness enhancement for block-based compressed images and videos

Ling Shao

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

In this paper, an efficient least mean square (LMS) optimization algorithm based on the ordering of pixels is proposed for simultaneous sharpness enhancement and coding artifact reduction. The pixels in a filter aperture are ordered according to their spatial distances and intensity deviations to the central pixel. The optimized filter coefficients for the ordered pixels are obtained by training on a dataset that is composed of the original images and the compressed blurred versions of the original images. The pixel ordering procedure makes the algorithm more efficient for training and much cheaper in terms of classification than other LMS techniques. Experimental results show the superior performance of the proposed algorithm to the state-of-the-art classification-based techniques.
Original languageEnglish
Pages (from-to)463-470
JournalSignal Processing: Image Communication
Volume23
Issue number6
DOIs
Publication statusPublished - Jul 2008

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