Single image deblurring using novel image prior constraints

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...

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Bibliographic Details
Published inOptik (Stuttgart) Vol. 124; no. 20; pp. 4429 - 4434
Main Authors Shi, Ming-zhu, Xu, Ting-fa, Feng, Liang, Liang, Jiong, Zhang, Kun
Format Journal Article
LanguageEnglish
Published Elsevier GmbH 01.10.2013
Subjects
Algorithms
Alternations
Image deblurring
Image prior
Image restoration
Kernels
Probability theory
Retarding
Ringing artifacts
Image deblurring
Image prior
Ringing artifacts
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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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content type line 23
ISSN:0030-4026
1618-1336
DOI:10.1016/j.ijleo.2013.03.020