光学技术, 2007, 33 (3): 0334, 网络出版: 2010-06-03
基于小波框架的红外/可见光图像融合
Fusion of infrared and visible images based on wavelet frame
摘要
针对小波框架所具有的冗余性和平移不变性在图像处理中能较好保留图像细节特征的特点,提出了一种将l2上的离散小波框架和交叉子带像素融合方案(Cross band pixel selection)结合起来的融合算法,并用于红外和可见光图像的融合。仿真试验表明该算法较好地保留了源图像的细节信息,是一种行之有效的融合算法。
Abstract
Aim at the characteristic that redundancy and shift-invariance of wavelet frame can reserve detail information of image preferably,the approach that combine discrete wavelet frame of with the cross band pixel selection was proposed and applied to integrate infrared and visible images. The result shows that the method preserves image detail perfectly. It is feasible and effective.
张彬, 许廷发, 黄光华, 倪国强. 基于小波框架的红外/可见光图像融合[J]. 光学技术, 2007, 33(3): 0334. ZHANG Bin, XU Ting-fa, HUANG Guang-hua, NI Guo-qiang. Fusion of infrared and visible images based on wavelet frame[J]. Optical Technique, 2007, 33(3): 0334.