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Deblocking Filter in Video Denoising

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Advances in Intelligent Automation and Soft Computing (IASC 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 80))

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Abstract

One of the most severe problems in video denoising is its block-based approach, which leads to distortions called blocking artifacts. This study aimed to present a deblocking filter based on motion threshold estimation and boundary determination. The luminance effect of human visual system (HVS) is also considered to adjust filter. The proposed method has smoother deblocking effect and better detail preservation than other methods. Experiments demonstrate that the proposed method can achieve better results in both the subjective and objective performance than other algorithms.

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Authors and Affiliations

  1. School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200072, China

    Jianeng Zhao & Yueli Hu

Authors
  1. Jianeng Zhao
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  2. Yueli Hu
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Corresponding author

Correspondence to Yueli Hu .

Editor information

Editors and Affiliations

  1. Electronics and Computer Engineering Technology, Indiana State University, Terre Haute, IN, USA

    Xiaolong Li

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Zhao, J., Hu, Y. (2022). Deblocking Filter in Video Denoising. In: Li, X. (eds) Advances in Intelligent Automation and Soft Computing. IASC 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 80. Springer, Cham. https://doi.org/10.1007/978-3-030-81007-8_96

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