NDLI: Blind deblurring from single motion image based on adaptive weighted total variation algorithm

Content Provider	IET Digital Library
Author	Wen, Jia Zhao, Junsuo Cailing, Wang Yan, Shuxia Wang, Wen
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.
Starting Page	611
Ending Page	618
Page Count	8
ISSN	17519675
Volume Number	10
e-ISSN	17519683
Issue Number	Issue 6, Aug (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/10/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2015.0458
Journal	IET Signal Processing
Publisher Date	2016-08-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Weighted Total Variation Algorithm Blind Image Deblurring Method Blur Kernel Estimation Computer Vision And Image Processing Technique Higher-order Partial Derivative Ill-posed Inverse Problem Image Motion Analysis Image Restoration Inverse Problem Latent Image Restoration Mathematical Analysis Optical, Image And Video Signal Processing Point Spread Function Ringing Artefact Removal Single Motion Image Structure
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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