A Modified Gaussian Model-based Low Complexity Pre-processing Algorithm for H.264 Video Coding Standard 


Vol. 30,  No. 2, pp. 41-48, Feb.  2005


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  Abstract

In this paper, we present a low complexity modified Gaussian model based pre-processing filter to improve the performance of H.264 compressed video. Video sequence captured by general imaging system represents the degraded version due to the additive noise which decreases 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 pre-processing filter, the simplified local statistics and quantization parameter are introduced. The simulation results show the capability of the proposed algorithm.

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  Cite this article

[IEEE Style]

W. Song and M. Hong, "A Modified Gaussian Model-based Low Complexity Pre-processing Algorithm for H.264 Video Coding Standard," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 2, pp. 41-48, 2005. DOI: .

[ACM Style]

Won-Seon Song and Min-Cheol Hong. 2005. A Modified Gaussian Model-based Low Complexity Pre-processing Algorithm for H.264 Video Coding Standard. The Journal of Korean Institute of Communications and Information Sciences, 30, 2, (2005), 41-48. DOI: .

[KICS Style]

Won-Seon Song and Min-Cheol Hong, "A Modified Gaussian Model-based Low Complexity Pre-processing Algorithm for H.264 Video Coding Standard," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 2, pp. 41-48, 2. 2005.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880