A Pixel-Level Multisensor Image Fusion Algorithm Based on False Color

A pixel-level multisensor image fusion algorithm based on false color is proposed and used to fuse two gray images.This method combines image fusion technique with color display technique and shows the detail differences between the gray fusion image and original images by different colors after obtaining a gray fusion image.There are three steps in this algorithm.First,a gray-level fusion image of two original images is obtained by the hybrid average and selection fusion technique.Then,two images showing differences between two original images and gray-level fusion image are generated.At last,these two images including differences and the gray-level fusion image are sent to R,G,B color channels respectively.Compared with the gray-level fusion image,the final color fusion image generated by this algorithm has more color variation,more details and the targets in it is easy to be recognized.