Fusion algorithm with multi-sensor noisy image based on MSTO

In the multi-sensor noisy image fusion, it was easy to obtain the fused images with loss of image edges and low image contrast based on the general filter methods. A novel fusion algorithm with noisy infrared and visible light images was proposed based on a multi-scale sequential toggle operator (MSTO) and an improved bilateral filter method. First, the energy component and the detail component were obtained by MSTO multi-scale decomposition. The detail component was processed by Beamlet operator to filter noises while keeping edge information on the images. Then, the bright edge image and dark edge image with the energy image were calculated by MSTO, and added to the detail component to enhance edges. The maximum rule was used in the energy component fusion. MSTO inverse transform was used to decompose the fused detail component and the energy component. The experimental results show that method filters the noise, and extracts and enhances the contour and the edge details. The image fusion algorithm is effective in the multi-sensor noisy image fusion. © 2017, Editorial Department of Journal of Southeast University. All right reserved.