Based on Laplacian pyramid(LP) transform and the pulse coupled neural network(PCNN), a multifocus image
fusion algorithm with antinoise properties is proposed. Firstly, the improved LP transform is adopted to construct the pyramidal data of image, the data are inputted into adaptive PCNN, and through the iterative operation by the PCNN, the firing time matrixes of them can be obtained. Then these matrixes and the pyramidal data are used by the decision operator for data fusion. Finally, the fused pyramidal data are reconstructed by using the pseudo inverse to obtain the fused image. The experimental results show that the proposed algorithm has antinoise properties for additive noise and system noise from JPEG compression, and can efficiently reduce the “pseudo Gibbs” phenomenon which is inevitable in the fused image by using the traditional LP algorithm.