Novel multi-resolution image fusion algorithm based on Kalman filtering

By treating scales as time, the system equations are established, which combines multiple images with different resolutions. Based on Kalman filtering, images with different characteristics and performances are fused effectively. By dividing images into blocks, a fast algorithm with low computation complex is presented. The performance of the image fusion algorithm is evaluated by the absolute values of the estimation errors. Theoretical analysis and simulation experiments demonstrate that the proposed method is effective in the fusion of both Gaussian noisy images and images with partial occlusion, intensity or contrast changes.