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

Authors:
Won-Seon Song;Min-Cheol Hong
Affiliations:
-;-
Venue:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Year:
2008

Citing 3
Cited 0

Signal Recovery Techniques for Image and Video Compression and Transmission

Signal Recovery Techniques for Image and Video Compression and Transmission
Overview of the H.264/AVC video coding standard

IEEE Transactions on Circuits and Systems for Video Technology
Low-complexity transform and quantization in H.264/AVC

IEEE Transactions on Circuits and Systems for Video Technology

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Abstract

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.