Infrared and Visible Images Fusion Based on Gradient Bilateral Filtering

To the problem of better outstanding the edge for infrared and visible images fusion, image local pattern is introduced to the system. Through constructing the gradient similarity kernel function instead of optical proximity kernel function in the traditional bilateral filtering, infrared and visible images fusion algorithm based on gradient bilateral filtering is proposed. The infrared image and the visible image are decomposed into high frequency part low frequency part using the gradient bilateral filtering, then high frequency part of infrared image and visible image are fused by an appropriate fusion rule, and another appropriate fuse rule is used to fuse the low frequency parts of two images. Simulation results show that the fusion algorithm based on gradient bilateral filtering can apply to infrared and visible images fusion, can highlight the image edge, computation time is reasonable, and has better fusion effect.