The thesis constructs a fast image fusion method based on pixel-wise voting is explored and constructed. First, the relevant visualization and quantitative analysis experiments were carried out under different step sizes of sliding window. It is confirmed from this that the fused-image performance with a 2-pixel step of sliding window is very close to that with 1-pixel step of sliding window. Therefore, the 2-pixel step of sliding-window is used in the new fast image fusion method to reduce the overall fusion computation time. Secondly, the method of reducing the source-image resolution is used to further reduce the computational complexity of the fast fusion algorithm. The experimental results show that, without reducing the fusion effect, choosing the appropriate scaling ratio can effectively increase the operation speed of the fusion algorithm. In addition, relevant experiments were also carried out on the data set with image shift caused by the jitter of the photographic equipment. The experimental results tell that the proposed fast fusion algorithm has strong robustness and can effectively fuse the original multi-focus images with slight jitter.