节点文献
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.
【关键词】 图像融合;
小波变换;
边缘检测;
局部对比度;
【Key words】 Image fusion; Wavelet transform; Edge detection; Partial contrast ratio;
【Key words】 Image fusion; Wavelet transform; Edge detection; Partial contrast ratio;
- 【文献出处】 光子学报 ,Acta Photonica Sinica , 编辑部邮箱 ,2006年04期
- 【分类号】TP391.41
- 【被引频次】38
- 【下载频次】584