A new way for image fusion based on wavelet transform

被引：0
|
作者：
Yan, Wenhao
Ma, Caiwen
Zhang, Ming
Wang, Chen
机构：
[1] Xi'an Institute of Optics and Precision Mechanics, Chinese Acad. of Sci., Xi'an 710068, China
[2] Graduate School of the Chinese Acad. of Sci., Beijing 100039, China
[3] School of Communication and Information Engineering, Xi'an University of science and Technology, Xi'an 710054, China
来源：
Guangzi Xuebao/Acta Photonica Sinica | 2006年 / 35卷 / 04期
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中图分类号：
学科分类号：
摘要：
The way of coefficient convolution has shortcomings of lost edge and low contrast ratio in image fusion filled with abundant slight edges. In order to solve the problem, a new method which combine Canny edge detection with wavelet transform and directional variance is introduced. It can improve the partial resolution with enhanced edge and the partial contrast ratio obviously, so accord with the human visual character further. And the result from experiment is satisfying.
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页码：638 / 640
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