非降采样Contourlet域方向区域多聚焦图像融合算法  

Multifocus image fusion algorithm based on directional window statistics in nonsubsampled contourlet domain

作　　者：孙伟[1] 郭宝龙[1] 陈龙[1] 

机构地区：[1]西安电子科技大学机电工程学院,西安710071

出　　处：《吉林大学学报（工学版）》2009年第5期1384-1389,共6页Journal of Jilin University:Engineering and Technology Edition

基　　金：'863'国家高技术研究发展计划项目(2006AA01Z127);国家自然科学基金项目(60572152)

摘　　要：提出了一种基于方向区域特性的非降采样Contourlet域多聚焦图像融合算法。算法将图像进行非降采样Contourlet变换为不同方向的高低频子带,低频子带和高频子带中分别采用方向区域的方差匹配度和能量作为融合规则,其中方向区域与当前子带分解方向保持一致,最后,通过反变换得到融合图像。实验结果表明,本文提出的方向区域方法能够更好地体现二维图像中的曲线或直线状边缘特征。将现有的融合算法和本文所提算法进行了主观和客观的对比,结果表明,基于非降采样Contourlet变换的方向区域特性的图像融合算法是一种有效可行的图像融合算法。A multifocus image fusion algorithm based on directional windows statistics in nonsubsampled contourlet domain is developed. First, source images are decomposed to the domains of nonsubsampled contourlet transform. Then, the image fusion is implemented in subbands with different scales and directions combining with regional statistics. Regional variance and local energy are adopted as the fusion rules in lowpass and highpass subbands, respectively. Finally, the fused image is obtained through inverse transform. Experimental results show that the directional windows in nonsubsampled contourlet can detect the image features more effectively and the fused image has better subjective visual effect. Comparison indicates that the proposed algorithm outperforms the traditional gradient pyramid algorithm and the wavelet based algorithm in terms of the fusion quality index.

关 键 词：图像融合 非降采样Contourlet变换 多聚焦 方向区域 

分 类 号：TP941[自动化与计算机技术]