红外技术2024，Vol.46Issue(6)：672-680,9.
基于改进LatLRR算法的红外与可见光图像融合研究
Infrared and Visible Image Fusion Based on Improved LatLRR Algorithm
摘要
Abstract
An improved latent low-rank representation(ILatLRR)is proposed to make the target more prominent and the background information more abundant after infrared and visible image fusion.First,the underlying layer obtained using LatLRR was decomposed at multiple levels to obtain additional underlying detail layers.Second,multilevel decomposition control was adopted based on the energy of the horizontal and vertical components of the detail layer and global contrast of the base layer to avoid invalid decomposition.Finally,different fusion strategies were adopted for the base and detail layers.The experimental simulations show that the fusion result of ILatLRR displays a sense of hierarchy;the image is clear;and the texture is rich.The contour details of the infrared thermal radiation target are maintained,retaining a large number of visible light image background features,with an objective evaluation index better than those of other algorithms.关键词
细节图层/基础图层/图像融合/能量特征Key words
detail layer/base layer/image fusion/energy feature分类
计算机与自动化引用本文复制引用
张健,黄安穴..基于改进LatLRR算法的红外与可见光图像融合研究[J].红外技术,2024,46(6):672-680,9.基金项目
河南省科技发展计划项目(212102210515). （212102210515）
