An adaptive parameter estimation for guided filter based image deconvolution

	An adaptive parameter estimation for guided filter based image deconvolution
	Yang, H.; Z. B. Zhang and Y. J. Guan
	2017
发表期刊	Signal Processing
卷号	138
摘要	Image deconvolution is still to be a challenging ill-posed problem for recovering a clear image from a given blurry image, when the point spread function is known. Although competitive deconvolution methods are numerically impressive and approach theoretical limits, they are becoming more complex, making analysis, and implementation difficult. Furthermore, accurate estimation of the regularization parameter is not easy for successfully solving image deconvolution problems. In this paper, we develop an effective approach for image restoration based on one explicit image filter - guided filter. By applying the de couple of denoising and deblurring techniques to the deconvolution model, we reduce the optimization complexity and achieve a simple but effective algorithm to automatically compute the parameter in each iteration, which is based on Morozov's discrepancy principle. Experiments manifest that our algorithm is effective on finding a good regularization parameter, and the proposed algorithm outperforms many competitive methods in both ISNR and visual quality. (C) 2017 Elsevier B.V. All rights reserved.
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/181722/59374
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.,Z. B. Zhang and Y. J. Guan. An adaptive parameter estimation for guided filter based image deconvolution[J]. Signal Processing,2017,138.
APA	Yang, H.,&Z. B. Zhang and Y. J. Guan.(2017).An adaptive parameter estimation for guided filter based image deconvolution.Signal Processing,138.
MLA	Yang, H.,et al."An adaptive parameter estimation for guided filter based image deconvolution".Signal Processing 138(2017).

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