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Kernel Optimization for Blind Motion Deblurring with Image Edge Prior
Joint Authors
Lv, Ke
Wang, Jing
Wang, Qian
Jia, Jie
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-05-09
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Image motion deblurring with unknown blur kernel is an ill-posed problem.
This paper proposes a blind motion deblurring approach that solves blur kernel and the latent image robustly.
For kernel optimization, an edge mask is used as an image prior to improve kernel update, then an edge selection mask is adopted to improve image update.
In addition, an alternative iterative method is introduced to perform kernel optimization under a multiscale scheme.
Moreover, for image restoration, a total-variation-(TV-) based algorithm is proposed to recover the latent image via nonblind deconvolution.
Experimental results demonstrate that our method obtains accurate blur kernel and achieves better deblurring results than previous works.
American Psychological Association (APA)
Wang, Jing& Lv, Ke& Wang, Qian& Jia, Jie. 2012. Kernel Optimization for Blind Motion Deblurring with Image Edge Prior. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-1029660
Modern Language Association (MLA)
Wang, Jing…[et al.]. Kernel Optimization for Blind Motion Deblurring with Image Edge Prior. Mathematical Problems in Engineering No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-1029660
American Medical Association (AMA)
Wang, Jing& Lv, Ke& Wang, Qian& Jia, Jie. Kernel Optimization for Blind Motion Deblurring with Image Edge Prior. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-1029660
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1029660