Multi-focus Image Fusion Based on PCNN Model

Based on the PCNN model and contrast modulation method, a new multi-focus image fusion method is proposed in this paper. Send source images into the PCNN and compute the contrast. The characteristic of image region clustering enhances the veracity of contrast. Then using the normalization contrast modulation gets two fusion images. Finally, use local variance to get the new fusion image. The experiment indicates that the fusion image contains more information about the edge, texture and detail, and it has a better contrast. Compared with the common methods, the innovative method embodies better fusion performance in information, standard and average grads.