摘要
研究了一种空域中的图像分解技术,进而利用改种分解方法.探讨了图像融合算法。主要思想是利用类型确定的滤波器(如低通)对原始图像滤波,将图像分解为高频和低频2部分,再对分解得到的低频或高频成分进行同样的处理,继续这一过程,图像便可分解成不同频率分量的图层之和。进而在各个图层上进行相应的融合处理,最后利用逆变换得到最终的结果。
A spatial decomposition method based on filtering technique was proposed and then image fusion tasks were discussed based on this new decomposition method.The main idea of this method covers following components:decomposing an image based on a filter which was given in advance into high and low frequency components.The decomposition procedure is repeated for the low-frequency or high frequency components continuously,and then the original image is divided into different frequency components of the image layers.then the corresponding processing is carried out on each of these layers,final result is obtained by the inverse decomposition.
出处
《长江大学学报(自科版)(上旬)》
CAS
2009年第01X期222-223,228,共3页
JOURNAL OF YANGTZE UNIVERSITY (NATURAL SCIENCE EDITION) SCI & ENG
关键词
高斯滤波器
分解
图像融合
Gaussian filter
decomposition
image fusion