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http://dx.doi.org/10.3807/COPP.2020.4.3.200

A Bilateral Filtering Based Ringing Elimination Approach for Motion-blurred Restoration Image  

Wang, Weiqing (Business College, Southwest University)
Wang, Weihua (School of Artificial Intelligence, Chongqing University of Arts and Sciences)
Yin, Jiao (Department of Computer Science and Information Technology, La Trobe University)
Publication Information
Current Optics and Photonics / v.4, no.3, 2020 , pp. 200-209 More about this Journal
Abstract
We describe an approach that uses a bilateral filter to reduce the ringing artifact in motion-blurred restoration image. It takes into account the specific physical structure of the ringing artifact combined with the properties of the human visual system. To properly reduce the ringing artifact, each of the adjacent pixels is limited in a straight line which has a given direction. To protect the edges and the texture regions of an image, our algorithm divides the image into texture regions and flat regions, and the artifact reduction algorithm is only applied to the flat region. Finally, we use 8 typical images and 5 objective quality evaluation indices to evaluate our algorithm. Experimental results show that our algorithm can obtain better results in subjective visual effect and in objective image quality evaluation.
Keywords
Image restoration; Bilateral filtering; Ringing;
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