Medical image fusion method based on lifting wavelet transform and dual-channel PCNN

In order to further improve the quality of medical image fusion, the study proposes a medical image fusion method based on lifting wavelet transform(LWT) and dual-channel pulse coupled neural network( PCNN). A fusion rule based on region spatial frequency is adopted in low frequency sub-band coefficient. Dual-channel PCNN has a simpler network architecture and better adaptability. It takes less time-consuming and cuts down computational complexity in the process of large amoumt of medical images. Dual-channel PCNN fusion rule is adopted in high frequency sub-band coefficients. The experiment results show that the proposed method can greatly improve the quality of fusion image compared with traditional fusion methods and has less time-consuming with less computational complexity.