光子学报, 2006, 35 (4): 0638, 网络出版: 2010-06-03
基于小波变换的图像融合新算法
A New Way for Image Fusion Based on Wavelet Transform
摘要
针对现有图像融合技术中的尺度系数卷积法存在的边缘细节损失和对比度下降问题,提出了将Canny边缘检测算子等价于提取图像的小波变换模极大值点这一思想引入图像的低频分量融合规则以及用于高频子带融合的局部对比度结合方向方差方法.最后通过仿真试验以及熵值数据证明该算法有效改善了边缘细节的准确度,提高了分辨率,并使局部对比度信息得以保留,从而更加符合人类的视觉特性.
Abstract
The way of coefficient convolution with lost edge and low contrast ratio in image fusion filled with abundant slight edges,now bring a new method which combine Canny edge detection with wavelet transform and directional variance. It can improve the partial resolution with enhanced edge and partial contrast ratio obviously,so accord with the human visual character further. And the result from experiment was satisfied at last.
燕文浩, 马彩文, 张鸣, 王晨. 基于小波变换的图像融合新算法[J]. 光子学报, 2006, 35(4): 0638. Yan Wenhao, Ma Caiwen, Zhang Ming, Wang Chen. A New Way for Image Fusion Based on Wavelet Transform[J]. ACTA PHOTONICA SINICA, 2006, 35(4): 0638.