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CLC number: TN919.8

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

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Journal of Zhejiang University SCIENCE A 2007 Vol.8 No.6 P.841-848

http://doi.org/10.1631/jzus.2007.A0841


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


Author(s):  WU Jing, YE Xiu-qing, GU Wei-kang

Affiliation(s):  Department of Information and Communication Engineering, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   Catherine_jw@sina.com

Key Words:  Adaptive fuzzy filter, Blocking artifacts, Ringing artifacts, De-blocking, De-ringing


WU Jing, YE Xiu-qing, GU Wei-kang. An adaptive fuzzy filter for coding artifacts removal in video and image[J]. Journal of Zhejiang University Science A, 2007, 8(6): 841-848.

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author="WU Jing, YE Xiu-qing, GU Wei-kang",
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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.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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[12] Wu, S., Yan, H., Tan, Z., 2001. An efficient wavelet-based deblocking algorithm for highly compressed images. IEEE Trans. on Circuits Syst. Video Technol., 11(11):1193-1198.

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