Fusion Algorithm of Infrared and Visible Images Based on Region Feature
一种基于区域特性的红外与可见光图像融合算法

An fusion algorithm of infrared and visible images based on region segmentation and à trous wavelet transform was proposed.Region segmentation and region joint were done for the infrared and visible images.Energy information and gradient information of the infrared and visible images were extracted according to the regions generated with joint map.And multiscale decomposition of the infrared and visible images was done with the à trous wavelet transform.The low-frequency coefficients were fused with the region-based rules according to the ratio of region energy(RRE) and ratio of region sharpness (RRS) presented,and the high-frequency coefficients were fused with larger absolute value operator.The fused coefficients were reconstructed to obtain the fusion image.Experimental results show that the presented algorithm can hold spectrum information of the visual image,and effectively get hot object information of the infrared image.