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Real-Time Post-Filtering Algorithm for Video Coding

Video Post-filtering is an important technique in all kinds of real-time video application fields and other related areas.Most video compression standards,including ITU-T H.263,MPEG-4 and H.264/MPEG-4 AVC,use a block-based DCT transform and a block-based motion compensation.This kind of coding technique will inevitably introduce ringing noise and blocking artifacts in decoded picture.This paper apply the concept of adaptive-neighborhood statistics to video post-filtering and propose a novel algorithm.It can restrain both noises without blurring the edge information.The experimental data and the factual effect in commercial application all show our algorithm not only provides better visual quality but also gives a prominent improvement in PSNR compared with many other algorithms in existence.