Gradient-based image deconvolution

	Gradient-based image deconvolution
	Huang H.; Yang H.; Ma S.
	2013
发表期刊	Journal of Electronic Imaging
ISSN	ISBN/10179909
期号	22
摘要	Image restoration and deconvolution from blurry and noisy observation is known to be ill-posed. To stabilize the recovery, total variation (TV) regularization is often utilized for its beneficial edge in preserving the image's property. We take a different approach of TV regularization for image restoration. We first recover horizontal and vertical differences of images individually through some successful deconvolution algorithms. We restore horizontal and vertical difference images separately so that each is more sparse or compressible than the corresponding original image with a TV measure. Then we develop a novel deconvolution method that recovers the horizontal and vertical gradients, respectively, and then estimate the original image from these gradients. Various experiments that compare the effectiveness of the proposed method against the traditional TV methods are presented. Experimental results are provided to show the improved performance of our method for deconvolution problems. 2013 SPIE and IS and T.
收录类别	EI
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/40680
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Huang H.,Yang H.,Ma S.. Gradient-based image deconvolution[J]. Journal of Electronic Imaging,2013(22).
APA	Huang H.,Yang H.,&Ma S..(2013).Gradient-based image deconvolution.Journal of Electronic Imaging(22).
MLA	Huang H.,et al."Gradient-based image deconvolution".Journal of Electronic Imaging .22(2013).

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