Author(s)

Yamei Zhang

Corresponding Author

Yamei Zhang

Abstract

This paper improves and simplifies the existing image fusion model. An image fusion algorithm based on pulse-coupled neural network is proposed. The multi-channel pcnn is used to fuse multi-focus images. The msf is used as the input of pcnn and the link is eol. Coefficients, and the fusion results are compared with traditional algorithms such as dwt, and simulation experiments are carried out. The visual effects and performance indicators reflect the superiority of the algorithm.

Keywords

Pulse Coupled Neural Network; Image fusion; neuron; Image spatial frequency