基于曲波变换的图像非线性对比度增强  

Nonlinear Image Contrast Enhancement Based on Curvelet Transform

作　　者：罗忠亮[1,2] 林土胜[1] 

机构地区：[1]华南理工大学电子与信息学院,广州510640 [2]韶关学院计算机系,韶关512005

出　　处：《数据采集与处理》2009年第4期413-417,共5页Journal of Data Acquisition and Processing

基　　金：国家自然科学基金(60472006)资助项目;广东省自然科学基金(04205783)团队研究资助项目

摘　　要：考虑到人的视觉特性,提出一种新的基于曲波域的图像非线性对比度增强方法。该方法首先利用曲波变换对循环平移过的图像进行分解,然后根据非线性算子对各子带曲波系数进行调整,最后经逆变换和反平移后得到对比度增强图像。实验表明,本文算法是一种简单而有效的图像对比度增强方法,不仅图像视觉效果改善明显,层次感更强,而且避免了传统图像增强方法的噪声过增强。Considering human visual characteristics, a new nonlinear image contrast enhancement method based on curvelet is proposed. Firstly, the cycle shifted image is decomposed with the curvelet transform. Then, coefficients of each subband are adjusted according to the nonlinear operator. Finally, the enhancement image is obtained by the inverse transform and the reverse shift. The experiment indicates that the method is simple and effective for the image contrast enhancement. The image visual effect is improved with more obvious levels and the phenomenon of enhancing noise about the traditional image enhancement methods is avoided.

关 键 词：图像对比度增强 非线性 曲波变换 平移不变性 

分 类 号：TN911.73[电子电信—通信与信息系统]