New image fusion algorithm based on PCNN and BWT

A novel algorithm for image fusion was proposed. First, the two original images were decomposed by biorthogonal wavelet transform, meanwhile, the two group multiscale sequences of each input images can be obtained. Second, 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 can be obtained by inverse biorthogonal wavelet transform at each process of iteration. 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 prove the new method's effectiveness and superiority.