A Novel Algorithm of Image Fusion Based on Adaptive ULPCNN Time Matrix

A novel image fusion algorithm using adaptive Unit-Linking Pulse Coupled Neural Networks (ULPCNN) is put forward. Firstly, ULPCNN threshold function is improved, and then the null interconnection and the adaptive interconnection ULPCNN are formed. Secondly, the nonlinear mapped ULPCNN time matrix can be obtained, which can represent the characteristic of the single pixel, but can reflect the pixel information of the neighbourhood region in an image. Finally, through adaptive characteristic statistical judgment of each pixel and the neighbour local character in time matrix, corresponding fusion processing to source image can be established. Theoretical analysis and experimental simulations show that the proposed algorithm enhances image fusion performance with PCNN automatically. The abundant characteristic information are better than PCA, Laplacian pyramid and wavelet transform, it presents higher detail average gradient, better visual effect and good fusion qualities.