基于第二代Curvelet变换的彩色图像增强算法  

A COLOUR IMAGE ENHANCEMENT ALGORITHM BASED ON SECOND GENERATION CURVELET TRANSFORM

作　　者：杨居义[1] 

机构地区：[1]绵阳职业技术学院计算机科学系

出　　处：《计算机应用与软件》2010年第3期114-116,126,共4页Computer Applications and Software

基　　金：四川省教育厅重点项目(2005A139)

摘　　要：针对小波变换对彩色图像增强算法诸多问题,提出基于第二代Curvelet变换的彩色图像增强算法,它克服了小波变换在表达彩色图像边缘的方向特性等方面的内在缺陷,更加适合分析二维图像中的曲线或直线状边缘特征。阐述了第二代Curvelet变换的基本原理,通过对512×512的Lena和Babon彩色图像仿真实验,实验结果表明算法对彩色图像具有很好的增强效果,提高了彩色图像的对比度,降低了噪声,同时也较好地保留了边缘信息,无论是从视觉效果还是从性能指标都优于小波和Ridgelet算法。To address the problems the wavelet transform has in eolour image enhancement algorithm, a eolour image enhancement algorithm based on the second generation Curvelet transform is presented in this paper. The algorithm can overcome the inherent defects of wavelet transform in its expression of direction characteristics of colour image edge, and is more suitable for analysing edge characteristics of the line or curve in two-dimensional image. In this paper, we introduced the basic principle of the second generation Curvelet transform. The results of simulation experiment of 512 × 512 Lena and Babon colour images show that the algorithm can provide good enhancement effect,increase the contrast,reduce the noise while reserve the edge information well. It is superior to wavelet and Ridgelet algorithms in both visual effect and performance indicators.

关 键 词：第二代CURVELET变换 彩色图像增强 小波变换 脊波变换 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]