Abstract—Blurring is one of the representative image degradation, and much research has been done on its restoration -. In these studies, the degradation process of the image is modeled by a point spread function (PSF: Point Spread Function) of blurring, and it is possible to recover from one input image by estimating its PSF. However, when noise is mixed into the image due to factors such as the characteristics of the camera, there is still a failure of the image due to PSF estimation error. In this paper, we introduce a ringing removal method using L₀ regularization. We propose a high-performance restoration method that can estimate clear images, and confirm its effectiveness by experiments.

Index Terms—blur, blind deconvolution, image restoration, point spread function

Cite: Ryohei Teranishi, Tomio Goto, and Takahiro Nagata, "Improvement of Robustness Blind Image Restoration Method Using Failing Detection Process," Journal of Image and Graphics, Vol. 8, No. 3, pp. 85-92, September 2020. doi: 10.18178/joig.8.3.85-92

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.