NDLI: Blind image deblurring based on sparse prior of dictionary pair

Content Provider	IEEE Xplore Digital Library
Author	Haisen Li Yanning Zhang Haichao Zhang Yu Zhu Jinqiu Sun
Copyright Year	2012
Description	Author affiliation: Shaanxi Key Laboratory of Speech and Image Information Processing, School of Computer Science and Technology, Northwestern Polytechnical University (Haisen Li; Yanning Zhang; Haichao Zhang; Yu Zhu) \|\| Institude of Precision Guidance and Control, School of Astronautics, Northwestern Polytechnical University (Jinqiu Sun)
Abstract	Blind image deblurring, aiming at obtaining the sharp image from blurred one, is a widely existing problem in image processing. Traditional image deblurring methods always use the deconvolution method to remove the blur kernel's effect, however, deconvolution is so sensitive to noise that inevitable artifacts always exist in the deblurring results, even though regularity terms are introduced as constraints. In this paper, we propose a novel blind image deblurring method based on the sparse prior of dictionary pair, estimating the sparse coefficient, sharp image and blur kernel alternately. The proposed method could avoid the deconvolution problem which is an ill-posed problem, and obtain the result with fewer artifacts. Compared with the state-of-the-art method, experimental results demonstrate that the proposed method could obtain better performance.
Starting Page	3054
Ending Page	3057
File Size	254553
Page Count	4
File Format	PDF
ISBN	9781467322164
ISSN	10514651
e-ISBN	9784990644109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-11
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	ICPR Org Committee
Subject Keyword	Dictionaries Image restoration Kernel Deconvolution Mathematical model Noise Image resolution
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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