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Title:
Blind deblurring from single motion image based on adaptive weighted total variation algorithm
Author: Wen, J ; Zhao, JS ; Cailing, W ; Yan, SX ; Wang, W
Keyword: image restoration ; image motion analysis ; inverse problems ; blind image deblurring method ; adaptive weighted total variation algorithm ; single motion image structure ; blur kernel estimation ; point spread function ; ringing artefact removal ; higher-order partial derivative ; ill-posed inverse problem ; latent image restoration
Source: IET SIGNAL PROCESSING
Issued Date: 2016
Volume: 10, Issue:6, Pages:611-618
Indexed Type: SCI
Department: Tianjin Polytech Univ, Sch Elect & Informat Engn, Tianjin 300387, Peoples R China. Chinese Acad Sci, Inst Software, Sci & Technol Integrated Informat Syst Lab, Beijing 100190, Peoples R China. Xian Shiyou Univ, Coll Comp Sci, Xian 710065, Peoples R China.
Abstract: Blind image deblurring is an important topic which is widely used in many research fields such as photography, optics, astronomy, medical images, monitoring, military and so on. Although many algorithms have been proposed to improve the deblurring result in the past years, most of them cannot perform perfectly in some challenging cases. This study presents a novel blind deblurring method based on an adaptive weighted total variation (TV) algorithm. The blur kernel estimation is based on the image structure, the sparsity and continuity prior of point spread function is also taken into account. To get better effect of removing the ringing artefacts, adaptive weight calculated according to the property of the higher-order partial derivatives in the local image is proposed in TV algorithm to alleviate the ill-posed inverse problem and stabilise the solution for latent image restoration. The experimental results prove that the proposed algorithm can suppress the ringing artefacts to a great extent in the latent image, and can get much better effect in both vision and theoretical results than traditional algorithms.
English Abstract: Blind image deblurring is an important topic which is widely used in many research fields such as photography, optics, astronomy, medical images, monitoring, military and so on. Although many algorithms have been proposed to improve the deblurring result in the past years, most of them cannot perform perfectly in some challenging cases. This study presents a novel blind deblurring method based on an adaptive weighted total variation (TV) algorithm. The blur kernel estimation is based on the image structure, the sparsity and continuity prior of point spread function is also taken into account. To get better effect of removing the ringing artefacts, adaptive weight calculated according to the property of the higher-order partial derivatives in the local image is proposed in TV algorithm to alleviate the ill-posed inverse problem and stabilise the solution for latent image restoration. The experimental results prove that the proposed algorithm can suppress the ringing artefacts to a great extent in the latent image, and can get much better effect in both vision and theoretical results than traditional algorithms.
Language: 英语
WOS ID: WOS:000381223200005
Citation statistics:
Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/17314
Appears in Collections:软件所图书馆_期刊论文

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Recommended Citation:
Wen, J,Zhao, JS,Cailing, W,et al. Blind deblurring from single motion image based on adaptive weighted total variation algorithm[J]. IET SIGNAL PROCESSING,2016-01-01,10(6):611-618.
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