基于非抽样形态小波的图像融合方法  

Image Fusion Method Based on Non-sampling Morphological Wavelet

作　　者：杨秀林 陈曦 曹科 秦国瑾 YANG Xiulin;CHEN Xi;CAO Ke

机构地区：[1]四川九洲北斗导航与位置服务有限公司技术中心,成都610000

出　　处：《科技创新与应用》2023年第29期1-7,共7页Technology Innovation and Application

基　　金：中央引导地方科技发展资金(2023ZHCG0013)。

摘　　要：该文提出一种将二通道的非抽样形态小波(Un-decimated Morphological Wavelet,UMW)扩展为三通道的非抽样形态小波(3-Channels Un-decimated Morphological Wavelet,3CUMW)的方法,这种方法将图像的细节信号进行细化,拓展为2个通道的细节信号,针对不同物理含义的细节信号分别进行融合处理,从而改善融合图像的质量。通过红外与可见光图像、多聚焦图像、遥感图像的图像融合实验,证明该方法具有有效性。In this paper,a method is proposed to extend the two-channel un-decimated morphological wavelet(UMW)to the three-channel unsampled morphological wavelet(3CUMW).This method refines the detail signal of the image and extends it to the detail signal of two channels,and fuses the detail signals with different physical meanings respectively,so as to improve the quality of the fused image.The effectiveness of this method is proved by the image fusion experiments of infrared and visible images,multi-focus images and remote sensing images.

关 键 词：非抽样形态小波 图像融合 红外与可见光图像 多聚焦图像 遥感图像 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]