Gradient-based image deconvolution

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所 > 中科院长春光机所知识产出

	Gradient-based image deconvolution
	Yang H.
刊名	Journal of Electronic Imaging
	2013
期号	22
ISSN号	ISBN/10179909
英文摘要	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
公开日期	2014-05-14
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/40680]
专题	长春光学精密机械与物理研究所_中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Yang H.. Gradient-based image deconvolution[J]. Journal of Electronic Imaging,2013(22).
APA	Yang H..(2013).Gradient-based image deconvolution.Journal of Electronic Imaging(22).
MLA	Yang H.."Gradient-based image deconvolution".Journal of Electronic Imaging .22(2013).