Title :
Quality adaptive trained filters for compression artifacts removal
Author :
Shao, Ling ; Wang, Jingnan ; Kirenko, Ihor ; De Haan, Gerard
Author_Institution :
Philips Res. Eur., Eindhoven
fDate :
March 31 2008-April 4 2008
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 methods in coding artifact reduction.
Keywords :
adaptive filters; data compression; least mean squares methods; video coding; artifact reduction coding; artifact visibility; compression artifacts removal; image decompression; input video signal; least mean square mechanism; quality adaptive trained filters; video frame filtering; Adaptive filters; Automatic voltage control; Degradation; Discrete cosine transforms; Filtering; Image coding; Pixel; Testing; Transform coding; Video compression; Quality metric; adaptive filters; compression artifacts removal; least mean square optimization;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2008.4517755
