一种新的基于NSCT域的遥感图像增强算法  

New NSCT-based remote sensing image enhancement algorithm

作　　者：李殿均[1] 贾振红[1] 覃锡忠[1] 杨杰[2] 胡英杰 杜超本[1] 

机构地区：[1]新疆大学信息科学与工程学院,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

出　　处：《计算机工程与应用》2012年第33期203-206,共4页Computer Engineering and Applications

基　　金：科技部国际科技合作项目(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：针对图像增强处理中产生的伪Gibbs现象、清晰度差等问题,利用下采样轮廓波变换(NSCT)的平移不变性特点,来抑制伪Gibbs现象,同时把模糊对比度和空间频率相结合来处理NSCT系数,提高了增强后图像的清晰度。实验结果证实,该算法使得增强后图像的质量明显优于常用的增强算法,具有一定实践价值。In order to solve the problem appearing in the process of image enhancement,such as,pseudo-Gibbs phenomenon and low contrast,a new threshold algorithm is proposed which is on the basis of NSCT domain.On the one hand,this proposed algorithm makes use of NSCT＇s shift-invariance to prohibit the pseudo-Gibbs phenomenon,on the other hand,deals with NSCT＇s coefficient by combining fuzzy contrast and spatial frequency to improve contrast and get better visual effect.The experimental results show that the proposed algorithm gets better results than the traditional method and owns some certain value in practical application.

关 键 词：图像增强 非下采样Contourlet变换(NSCT) 模糊对比度 空间频率 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]