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Single image deblurring using novel image prior constraints.
- Source :
-
Optik - International Journal for Light & Electron Optics . Oct2013, Vol. 124 Issue 20, p4429-4434. 6p. - Publication Year :
- 2013
-
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]
Details
- Language :
- English
- ISSN :
- 00304026
- Volume :
- 124
- Issue :
- 20
- Database :
- Academic Search Index
- Journal :
- Optik - International Journal for Light & Electron Optics
- Publication Type :
- Academic Journal
- Accession number :
- 90014497
- Full Text :
- https://doi.org/10.1016/j.ijleo.2013.03.020