Image deconvolution using incomplete Fourier measurements

	Image deconvolution using incomplete Fourier measurements
	Yang H.; Zhang Z. B.; Wu D. Y.
	2012
发表期刊	International Journal of Imaging Systems and Technology
ISSN	0899-9457
卷号	22 期号:4 页码:233-240
摘要	In this article, we propose a new deconvolution algorithm, which is based on image reconstruction from incomplete measurements in Fourier domain. Our algorithm has two steps. First, an initial estimator is obtained using Fourier regularized inverse operator. Second, parts of the estimator's Fourier coefficients are saved, and the others are removed to suppress noise energy, then the remaining coefficients are used to recover image based on the sparse constraints. This image reconstruction problem is an optimization problem that is solved by a fast algorithm named split Bregman iteration. Different from other deconvolution algorithms, our algorithm only uses parts of Fourier components to restore the blurred image and combines two different regularization strategies efficiently by applying a selection matrix. The experiment shows that our method gives better performance than many other competitive deconvolution methods. (c) 2012 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 22, 233240, 2012; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/ima.22027
收录类别	SCI ; EI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/34334
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Yang H.,Zhang Z. B.,Wu D. Y.. Image deconvolution using incomplete Fourier measurements[J]. International Journal of Imaging Systems and Technology,2012,22(4):233-240.
APA	Yang H.,Zhang Z. B.,&Wu D. Y..(2012).Image deconvolution using incomplete Fourier measurements.International Journal of Imaging Systems and Technology,22(4),233-240.
MLA	Yang H.,et al."Image deconvolution using incomplete Fourier measurements".International Journal of Imaging Systems and Technology 22.4(2012):233-240.

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