Quality adaptive trained filters for compression artifacts removal

L. Shao, J. Wang, I. Kirenko, G. Haan, de

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

6 Citations (Scopus)
70 Downloads (Pure)

Abstract

A compression artifacts removal algorithm that is adaptive to the artifact visibility level of the input video signal is proposed. The artifact visibility is determined per frame by the ratio of the accumulated gradient on the block edges to that of the remaining area. The filtering of each video frame is optimized using a least mean square mechanism which trains on pairs of target images and decompressed images of similar quality as the input frame. Experimental results show that the proposed approach outperforms several recent methods in coding artifact reduction.
Original languageEnglish
Title of host publicationAcoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference, March 31 2008-April 4 2008
Pages89-900
Publication statusPublished - 2008
Event2008 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008) - Las Vegas, United States
Duration: 30 Mar 20084 Apr 2008

Conference

Conference2008 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008)
Abbreviated titleICASSP 2008
CountryUnited States
CityLas Vegas
Period30/03/084/04/08

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    Shao, L., Wang, J., Kirenko, I., & Haan, de, G. (2008). Quality adaptive trained filters for compression artifacts removal. In Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference, March 31 2008-April 4 2008 (pp. 89-900)