IPOL Journal · Image Processing On Line
- published
- 2019-03-12
- reference
- Jérémy Anger, Gabriele Facciolo, and Mauricio Delbracio, Blind Image Deblurring using the l0 Gradient Prior, Image Processing On Line, 9 (2019), pp. 124–142. https://doi.org/10.5201/ipol.2019.243
Communicated by Jean-Michel Morel and Miguel Colom
Demo edited by Jérémy Anger
Abstract
Many blind image deblurring methods rely on unnatural image priors that are explicitly designed to restore salient image structures, necessary to estimate the blur kernel. In this article, we analyze the blur kernel estimation method introduced by Pan and Su in 2013 that uses an l0 prior on the gradient image. We present deconvolution results using the estimated blur kernels. Our experiments show the effectiveness of the method as well as some of its shortcomings.
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- source code: ZIP
History
- Note from the editor: the manuscript of the article was modified on 2022-01-01 to include information about its editors. The original version of the manuscript is available here.
