DocumentCode :
2835557
Title :
Low complexity deblocking filter perceptual optimization for the HEVC codec
Author :
Naccari, Matteo ; Brites, Catarina ; Ascenso, João ; Pereira, Fernando
Author_Institution :
Inst. de Telecomun., Lisbon, Portugal
fYear :
2011
fDate :
11-14 Sept. 2011
Firstpage :
737
Lastpage :
740
Abstract :
The compression efficiency of the state-of-art H.264/AVC video coding standard must be improved to accommodate the compression needs of high definition videos. To this end, ITU and MPEG started a new standardization project called High Efficiency Video Coding. The video codec under development still relies on trans form domain quantization and includes the same in-loop deblocking filter adopted in the H.264/AVC standard to reduce quantization blocking artifacts. This deblocking filter provides two offsets to vary the amount of filtering for each image area. This paper proposes a perceptual optimization of these offsets based on a quality metric able to quantify the blocking artifacts impact on the perceived video quality. The proposed optimization involves low computational complexity and provides quality improvements with respect to a non-perceptually optimized H.264/AVC deblocking filter. Moreover, the proposed optimization allows up to 92% of complexity reduction regarding a brute force perceptual optimization which exhaustively tests all the possible offsets values.
Keywords :
computational complexity; filtering theory; optimisation; quantisation (signal); standards; video codecs; video coding; H.264/AVC standard; HEVC codec; ITU; MPEG; brute force perceptual optimization; complexity reduction; compression efficiency; computational complexity; high definition video compression; high efficiency video coding; in-loop deblocking filter; low complexity deblocking filter perceptual optimization; nonperceptually optimized H.264/AVC deblocking filter; perceived video quality; quality improvements; quality metric; quantization blocking artifacts; standardization project; state-of-art H.264/AVC video coding standard; transform domain quantization; video codec; Computational complexity; Image edge detection; Measurement; Optimization; Video coding; Wiener filter; Blocking artifacts; H.264/AVC deblocking filter; High Efficiency Video Coding; Perceptual optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
ISSN :
1522-4880
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2011.6116659
Filename :
6116659
Link To Document :
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