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首页> 外文期刊>Journal of Zhejiang University. Science, A >An adaptive fuzzy filter for coding artifacts removal in video and image
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An adaptive fuzzy filter for coding artifacts removal in video and image

机译:用于去除视频和图像中的伪像的自适应模糊滤波器

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摘要

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.
机译:本文提出了一种新的自适应后滤波算法,以消除基于块的视频编码器中的编码伪像。所提出的方法集中于阻塞和振铃伪影的去除。对于解块,识别块强度以确定滤波范围,并且使用图像的最大量化参数来适应一维模糊滤波器。对于去振铃,除了边缘检测外,还提出了一种互补的振铃检测方法来定位被忽略的振铃块,并采用梯度阈值来调整二维模糊滤波器的参数。实验是在MPEG-4序列上进行的。与其他方法相比,提出的方法以较低的计算成本实现了更好的细节保留和伪影去除性能。

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