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An adaptive fuzzy filter for coding artifacts removal in video and image

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Abstract

This paper proposes a new adaptive post-filtering algorithm to remove coding artifacts in block-based video coder. The proposed method concentrates on blocking and ringing artifacts removal. For de-blocking, the blocking strength is identified to determine the filtering range, and the maximum quantization parameter of the image is used to adapt the 1D fuzzy filter. For de-ringing, besides the edge detection, a complementary ringing detection method is proposed to locate the neglected ringing blocks, and the gradient threshold is adopted to adjust the parameter of 2D fuzzy filter. Experiments are performed on the MPEG-4 sequences. Compared with other methods, the proposed one achieves better detail preservation and artifacts removal performance with lower computational cost.

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Authors and Affiliations

  1. Department of Information and Communication Engineering, Zhejiang University, Hangzhou, 310027, China

    Wu Jing, Ye Xiu-qing & Gu Wei-kang

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  1. Wu Jing
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  2. Ye Xiu-qing
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  3. Gu Wei-kang
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Wu, J., Ye, Xq. & Gu, Wk. An adaptive fuzzy filter for coding artifacts removal in video and image. J. Zhejiang Univ. - Sci. A 8, 841–848 (2007). https://doi.org/10.1631/jzus.2007.A0841

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  • DOI: https://doi.org/10.1631/jzus.2007.A0841

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