Adaptive Pre-Processing Algorithm to Improve Coding Performance of Seriously Degraded Video Sequences for H.264 Video Coder

Won-Seon SONG  Min-Cheol HONG  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E91-A   No.2   pp.713-717
Publication Date: 2008/02/01
Online ISSN: 1745-1337
DOI: 10.1093/ietfec/e91-a.2.713
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Image
pre-processing filter,  local statistics,  quantization parameter,  complexity,  H.264,  

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This paper introduces an adaptive low complexity pre-processing filter to improve the coding performance of seriously degraded video sequences that is caused by the additive noise. The additive noise leads to a decrease in coding performance due to the high frequency components. By incorporating local statistics and quantization parameter into filtering process, the spurious noise is significantly attenuated and coding efficiency is improved for given quantization step size. In order to reduce the complexity of the pre-processing filter, the simplified local statistics and quantization parameter are introduced. The simulation results show the capability of the proposed algorithm.