Pixel Level Image Fusion Algorithm based on PCA

摘要

Image fusion algorithm based on principal component analysis (PCA) was proposed in this paper. The algorithm make use of the characteristics that the principal component decomposition can retain the main information of the original data, it get covariance matrix, eigenvalue and eigenvector of covariance matrix from the source image. Then we can get the weighted coefficient and fused image with the help of eigenvalue and eigenvector. Simulation result shows that the better image quality is obtained in the proposed algorithm.