New image fusion algorithm based on PCNN

A novel algorithm based on Pulse Coupled Neural Network (PCNN) for image fusion was proposed. First, the two original images were decomposed by stationary wavelet transform, meanwhile, the two group multiscale sequences of each input images could be obtained. Secondly, one of the multiscale sequences were chosen arbitrarily as the input to the main PCNN network, and the others as the input to the subsidiary network. Then, sequences of multiscale fusion images were gotten by the parallel PCNN and the fused image could be obtained by inverse stationary wavelet transform at each process of iteration. At last, the optimal fusion result is obtained when the maximum value of the information entropy is achieved. Lots of experiments and comparisons with other fusion algorithms show the effectiveness and superiority of new method.