Title :
A Multi-Frame Post-Processing Approach to Improved Decoding of H.264/AVC Video
Author :
Huang, Xin ; Li, Huiying ; Forchhammer, Søren
Author_Institution :
Tech. Univ. of Denmark, Lyngby
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
Video compression techniques may yield visually annoying artifacts for limited bitrate coding. In order to improve video quality, a multi-frame based motion compensated filtering algorithm is reported based on combining multiple pictures to form a single super-resolution picture and decimation to the desired format. The algorithm is applied to H.264/AVC decoded sequences and the processing involves a quality estimation based on picture type and local quantization value. Compared with directly decoding, the peak signal to noise ratio (PSNR) of the sequence obtained by the proposed algorithm is improved, and annoying ringing artifacts are effectively suppressed.
Keywords :
data compression; filtering theory; image motion analysis; image resolution; image sequences; video coding; H.264 AVC video decoding sequences; bitrate coding; filtering algorithm; local quantization value; multi frame post processing approach; multiframe based motion; multiple pictures; peak signal to noise ratio; picture type; quality estimation; super resolution decimation; super resolution picture; video compression techniques; video quality; Automatic voltage control; Bit rate; Decoding; PSNR; Quadratic programming; Quantization; Signal resolution; Spatial resolution; Transform coding; Video compression; Artifacts reduction; H.264/AVC; motion compensated filtering;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4380034
