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Remote sensing image restoration based on zero-norm regularized kernel estimation
Yan J.-W.; Peng H.; Liu L.; Jin G.; Zhong X.
2014
发表期刊Guangxue Jingmi Gongcheng/Optics and Precision Engineering
ISSNISBN/1004924X
卷号22期号:9页码:2572-2579
摘要On the basis of the degradation process of a blurred image, a convolution fuzzy model and the fuzzy image generation mechanism, a zero-norm regularization kernel estimation method is proposed to overcome the problem that 0 norm is difficult to solve in the remote sensing image reconstruction. By taking a fuzzy nuclear sparse for prior knowledge and corresponding gradient norms for regular items, the method avoids the impact of small edges of the image on blurred kernel and accurately estimates the blur kernel by the blurring image. Furthermore, the super Laplace distribution is used to approximate the heavy-tailed distribution of image gradient, and the norm regularization is taken to deconvolute the blurred image to recover the original image. As compared with the traditional methods, the proposed method estimates the obscure kernel of the image correctly, restrains the ringing phenomena well and improves the quality of remoter sensing image. The experiments for the same blade shows that Modulation Transfer Function (MTF) curve from proposed method is better than those from the blurred images and other reconstructed images.
收录类别EI
语种中文
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/44330
专题中科院长春光机所知识产出
推荐引用方式
GB/T 7714
Yan J.-W.,Peng H.,Liu L.,et al. Remote sensing image restoration based on zero-norm regularized kernel estimation[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering,2014,22(9):2572-2579.
APA Yan J.-W.,Peng H.,Liu L.,Jin G.,&Zhong X..(2014).Remote sensing image restoration based on zero-norm regularized kernel estimation.Guangxue Jingmi Gongcheng/Optics and Precision Engineering,22(9),2572-2579.
MLA Yan J.-W.,et al."Remote sensing image restoration based on zero-norm regularized kernel estimation".Guangxue Jingmi Gongcheng/Optics and Precision Engineering 22.9(2014):2572-2579.
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