A Spatially Adaptive Post-processing Filter to Remove Blocking Artifacts of H.264 Video Coding Standard 


Vol. 33,  No. 8, pp. 583-590, Aug.  2008


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  Abstract

In this paper, we present a spatially adaptive post-processing algorithm for H.264 video coding standard to remove blocking artifacts. The loop filter of H.264 increases computational complexity of the encoder. Furthermore it doesn't clearly remove the blocking artifacts, resulting in over-blurring. For overcoming them, we combine the projection method with the Constraint Least Squares(CLS) method to restore the high quality image. To reflect the Human Visual System, we adopt the weight norm CLS method. Particularly pixel location-based local variance and laplacian operator are newly defined for the CLS method. In addition, the fact that correlation among adjoining pixels is high is utilized to constrain the solution space when the projection method is applied. Quantization Index(QP) of H.264 is also used to control the degree of smoothness. The simulation results show that the proposed post-processing filter works better than the loop filter of H.264 and converges more quickly than the CLS method.

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  Cite this article

[IEEE Style]

K. Y. Choi and M. Hong, "A Spatially Adaptive Post-processing Filter to Remove Blocking Artifacts of H.264 Video Coding Standard," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 8, pp. 583-590, 2008. DOI: .

[ACM Style]

Kwon Yul Choi and Min-Cheol Hong. 2008. A Spatially Adaptive Post-processing Filter to Remove Blocking Artifacts of H.264 Video Coding Standard. The Journal of Korean Institute of Communications and Information Sciences, 33, 8, (2008), 583-590. DOI: .

[KICS Style]

Kwon Yul Choi and Min-Cheol Hong, "A Spatially Adaptive Post-processing Filter to Remove Blocking Artifacts of H.264 Video Coding Standard," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 8, pp. 583-590, 8. 2008.