A PDE-Based Perceptual Deconvolution Image Edge Ringing Artifact Metric

B. Zuo, Xiang-yun Hu
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Abstract

The edge ringing artifacts always appear near the image edge after deconvolution and degrade the image quality. In this paper, we presented a new deconvolution image edge ringing metric to evaluate the quality of image. The proposed approach is able to remove the deconvolution image edge ringing artifact by using a PDE (Partial Differential Equation)-based method and it will be compared with the degraded image to evaluate the edge ringing artifact. The experimental results validate the effectiveness of image enhancement method. and proposed evaluation metric performs well.
基于pde的感知反卷积图像边缘振铃伪影度量
反褶积后,在图像边缘附近会出现边缘环形伪影,降低图像质量。本文提出了一种新的反卷积图像边缘环度量来评价图像质量。该方法采用基于偏微分方程的方法去除反卷积图像的边缘环伪影,并将其与退化后的图像进行比较以评估边缘环伪影。实验结果验证了图像增强方法的有效性。所提出的评价指标效果良好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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