Image Enhancement Based on NSCT

被引：0

作者：

Ma Changxia ^{[1
]}

Bi Ye ^{[1
]}

Jiang Hongan ^{[1
]}

Chen Yunping ^{[1
]}

Zhang Zhanqiang ^{[1
]}

机构：

[1] Huaihai Inst Technol, Dept Comp Sci, Lianyungang 222001, Peoples R China

来源：

INTELLIGENCE COMPUTATION AND EVOLUTIONARY COMPUTATION | 2013年 / 180卷

关键词：

Image Enhancement; nonsubsampled contourlet transform; Multiresolutional;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An algorithm for image enhancement based on nonsubsampled contourlet transform (NSCT) is proposed. NSCT is multiresolutional, localized, multidirectional and anisotropic so it can more effectively capture high dimensional singularity. Firstly, the coefficients at different scales and in different directions are obtained by image decomposition using the NSCT, then with these coefficients thresholds are adaptively set and the generalized nonlinear gain function is used to enhance the features with low contrast while protecting the strong contrast features from over enhancing in the NSCT domain. The experiment results show that the algorithm achieve a good effect.

引用

页码：753 / 759

页数：7

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