A novel image fusion algorithm using FRIT AND PCA

The proposed new fusion algorithm is based on the finite Ridgelet transform(FRIT) and PCA. FRIT could capture two and higher dimensional singularity is analyzed. FRIT is used to decompose the image into low and high frequency components. The PCA method is used to fuse the low frequency coefficients. And for the high frequency coefficients, the maximum-method and the region consistency check are adopted. Experiments show that the proposed algorithm outperforms the wavelet transform method and the Laplacian pyramid methods in preserving the edge and texture information.