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

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概要

• 論文の詳細を見る

• This paper introduces an adaptive low complexity preprocessing 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.

• （社）電子情報通信学会の論文
• 2008-02-01

著者

• Song Won-seon

  Soongsil University

• Hong Min-cheol

  Soongsil University

関連論文

• Low Computing Post Processing to Suppress Annoying Artifacts of Compressed Video Sequences(Image Processing and Video Processing)
• Adaptive Pre-Processing Algorithm to Improve Coding Performance of Seriously Degraded Video Sequences for H.264 Video Coder
• A Spatially Adaptive Gradient-Projection Image Restoration
• A Spatially Adaptive Gradient-Projection Algorithm to Remove Coding Artifacts of H.264

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