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Dim target enhancement algorithm for low-contrast image based on anisotropic diffusion
其他题名论文其他题名
Wang Y.H.; Liu W.N.
2008
发表期刊Guangdian Gongcheng/Opto-Electronic Engineering
ISSN1003501X
卷号35期号:6页码:15-19
摘要In a sensed image of long distance, the gray levels of target and background are hardly distinguishable, which results in a low-contrast image. Dim-target detection is always a difficult problem. The aim of this paper is to propose an anisotropic diffusion filtering algorithm based on partial differential equation to enhance the dim targets. The algorithm establishes a new filter model by improving the traditional P-M model based on the anisotropic diffusion theory. The proposed method adaptively performs the smoothing process in the faultless areas to make the background uniform, and performs the sharpening process in the variational areas to enhance dim targets. Simultaneously, we can select the smoothing and sharpening degree by adjusting the parameter K and w to satisfy different environments. Experimental results show the efficiency of the proposed diffusion scheme in dim-target enhancement with low-contrast.
收录类别EI
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/24511
专题中科院长春光机所知识产出
推荐引用方式
GB/T 7714
Wang Y.H.,Liu W.N.. Dim target enhancement algorithm for low-contrast image based on anisotropic diffusion[J]. Guangdian Gongcheng/Opto-Electronic Engineering,2008,35(6):15-19.
APA Wang Y.H.,&Liu W.N..(2008).Dim target enhancement algorithm for low-contrast image based on anisotropic diffusion.Guangdian Gongcheng/Opto-Electronic Engineering,35(6),15-19.
MLA Wang Y.H.,et al."Dim target enhancement algorithm for low-contrast image based on anisotropic diffusion".Guangdian Gongcheng/Opto-Electronic Engineering 35.6(2008):15-19.
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