Image fusion algorithm based on receptive field model

The best image fusion system in real world is human vision. If we can know the biological machine and build its mathematic model, it will be very useful in application. In this paper, we describe the biological knowledge of human eyes, such as receptive field. And a new image fusion algorithm based on human vision model is presented. This method is suitable to fuse two images with different gray levels from different sensors. While all useful information in original images can be observed in fused images, the differences of two images are enhanced. The enhancement helps the observer to recognize the objects correctly and quickly. Additionally, this algorithm reduces the noise in original images and has low calculation cost. It can satisfies the real time requirement.