1. Single image deblurring using novel image prior constraints.
- Author
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Shi, Ming-zhu, Xu, Ting-fa, Feng, Liang, Liang, Jiong, and Zhang, Kun
- Subjects
- *
IMAGE analysis , *CONSTRAINT satisfaction , *INFORMATION processing , *IMAGE reconstruction , *ALGORITHMS , *PERFORMANCE evaluation - Abstract
Abstract: Single image deblurring is a highly ill-posed problem and requires to be regularized. Many common forms of image prior have a major drawback that is unable to make full use of local image information. In this paper, we propose a single image deblurring method using novel image prior constraints. We establish a probabilistic model by enforcing inspired image prior constraints and adopt an advanced iterative scheme that alternates between blur kernel estimation and non-blind image restoration. To suppress ringing artifacts caused by inevitable blur kernel estimated errors, our method employs total variation image restoration and presents an alternation half-quadratic algorithm to solve the non-convex cost function. Finally, experiments show that our method has good performance in suppressing ringing artifacts, and makes a good balance between alleviating staircase effects and preserving image details. [Copyright &y& Elsevier]
- Published
- 2013
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