Title :
Algorithmic Optimization for H.264 Deblocking Filter on Portable Devices
Author :
Ren, J. ; Kehtarnavaz, N.
Author_Institution :
Univ. of Texas, Dallas
Abstract :
Deblocking filters are used to reduce or eliminate blocking artifacts that appear when H.264/AVC is utilized for low bit rate video coding applications such as video conferencing, Considering that the H.264/AVC deblocking filter constitutes about one-third of the decoding time, in this paper, we present two optimization steps to reduce the computational complexity of this filter. These steps involve using the mode information of decoded macroblocks and the similarity among adjacent blocks. Experimental results show that these optimization steps significantly reduce the computational complexity with tolerable loss in video quality.
Keywords :
computational complexity; decoding; filtering theory; optimisation; video coding; H.264 deblocking filter; H.264/AVC; adjacent blocks; algorithmic optimization; computational complexity; decoded macroblocks; low bit rate video coding; portable devices; video quality; Adaptive filters; Automatic voltage control; Bit rate; Code standards; Computational complexity; Decoding; Filtering; IEEE members; Video coding; Videoconference; Optimization of H.264/AVC deblocking filter; block similarity in video deblocking; mode selection in video deblocking;
Conference_Titel :
Consumer Electronics, 2007. ISCE 2007. IEEE International Symposium on
Conference_Location :
Irving, TX
Print_ISBN :
978-1-4244-1109-2
Electronic_ISBN :
978-1-4244-1110-8
DOI :
10.1109/ISCE.2007.4382168
