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Edge-preserving image deconvolution with nonlocal domain transform
Yang H.; Zhang Z.; Zhu M.; Huang H.
2013
发表期刊Optics and Laser Technology
ISSNISBN/00303992
卷号54
摘要In this paper, we propose a new approach for performing efficient edge-preserving image deconvolution algorithm based on a nonlocal domain transform (NLDT). We present the geodesic distance-preserving transforming procedure of a 1D signal embedded in 2D space into a new 1D domain via a transformation for simplicity. The nonlocal domain transform derives from the (1D) nonlocal means filter kernel and iteratively and separably applies 1D edge-aware operations. In order to solve the main issue with noisy images that is finding robust estimates for their derivatives, we develop an efficient joint nonlocal domain transform filter in the deblurring process. Furthermore, we derive the discrepancy principle to automatically adjust the regularization parameter at each iteration. We compare our deconvolution algorithm with many competitive deconvolution techniques in terms of ISNR and visual quality. 2013 Elsevier Ltd.
收录类别SCI ; EI
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/40622
专题中科院长春光机所知识产出
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GB/T 7714
Yang H.,Zhang Z.,Zhu M.,et al. Edge-preserving image deconvolution with nonlocal domain transform[J]. Optics and Laser Technology,2013,54.
APA Yang H.,Zhang Z.,Zhu M.,&Huang H..(2013).Edge-preserving image deconvolution with nonlocal domain transform.Optics and Laser Technology,54.
MLA Yang H.,et al."Edge-preserving image deconvolution with nonlocal domain transform".Optics and Laser Technology 54(2013).
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