Residual Filter for Improving Coding Performance of Noisy Video Sequences

Authors:
Won Seon Song;Seong Soo Lee;Min-Cheol Hong
Affiliations:
School of Electronic Engineering, Soongsil University, Korea;School of Electronic Engineering, Soongsil University, Korea;School of Electronic Engineering, Soongsil University, Korea
Venue:
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
Year:
2007

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Abstract

This paper addresses a low complexity residual filter to improve the coding performance of noisy video sequences. The additive noise decreases the coding efficiency and results in unpleasant coding artifacts due to higher 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 addition, in order to reduce the complexity of the residual filter, the simplified local statistics and quantization parameter induced by analyzing H.264/AVC transformation and quantization processes are introduced. The simulation results show the capability of the proposed algorithm.