Research on Spatial Frequency Motivated Gray Level Image Fusion Based on Improved PCNN

SCM is an improved PCNN model compared to traditional PCNN model. It decreased computation complexity and needs less computing compared to PCNN. It accords with Weber-Fechner law. It also possesses the excellent features of both PCNN model and ICM model. A SCM based image fusion method is presented in this paper. Firstly, we set an important image function - spatial frequency (SF) as stimulus to activate SCM networks. And then we provided a new method to select pixels from original images and generate the fusion result image. For proving the effectiveness of our SCM-based method, we compared it with other five methods under four image fusion effect evaluation indices. The Comparison of different fusion results show effectiveness of our fusion approach. Robustness test experiments verify that our method can be used in noisy image processing field.