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基于NSCT的反锐化掩模遥感图像增强方法
引用本文:蒲晓婷,贾振红,覃锡忠,杨杰,胡英杰.基于NSCT的反锐化掩模遥感图像增强方法[J].四川激光,2012(5):21-22.
作者姓名:蒲晓婷  贾振红  覃锡忠  杨杰  胡英杰
作者单位:[1]新疆大学信息科学与工程学院,新疆乌鲁木齐830046 [2]上海交通大学图像处理与模式识别研究所,上海200240 [3]新西兰奥克兰理工大学知识工程与发现研究所,新西兰奥克兰1020
基金项目:科技部国际合作项日(No.2009DFA12870);教育部促进与美大地区科研合作与高层次人才培养项目.
摘    要:针对传统图像增强过程中产生的伪吉布斯现象,清晰度差和对比度低的问题,提出一种基于非F采样Contourlet变换(NonsubsampledContourletTransform,NSCT)的反锐化掩模图像增强算法。该算法一方面利用NSCT变换的平移不变性,抑制传统增强算法中产生伪吉布斯现象,另一方面用反锐化掩膜算法来处理图像,提高增强后图像的清晰度和对比度。实验仿真结果表明,本文提出的方法与Conlourlet增强方法,反锐化掩模增强方法相比能够有效提高图像的清晰度,对比度和抑制伪吉布斯现象,图像视觉效果有明显改善。

关 键 词:图象增强  非下采样Contourlet变换  反锐化掩模

Remote sensing image enhancement based on NSCT and unsharp masking
Affiliation:PU Xian - ting ,JIA Zhen - hong, QIN Xi - zhong, YANG Jie, Hu Ying - jie (1. College of Information Science and Engineering, Xinjiang University, Urumuqi 830046, China; 2. Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200240, China; ) 3. Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, Auckland 1020, New Zealand )
Abstract:In order to solve pseudo- Gibbs phenomenon, low contrast and blurred phenomenon in the process of image enhancement, a new algorithm is proposed which is in basis of NSCT domain. On the one hand, this proposed algorithm makes use of NSCT' s shift - invarianee to prohibit the pseudo - Gibbs phenomenon, on the other hand, deals with NSCT's coefficient by Unsharp Masking to improve contrast and get better visual effect. Compared with the Contourlet method and Unsharp Masking method, the proposed method is obviously superior both in contrast and in vision.
Keywords:image enhancement : nonsubsamnled Contourlet transform : unsharD masking
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