Image Fusion Based on the (Δ-1 - TV0) Energy Function

This article proposes a ∆−1− TV0 energy function to fuse a multi-spectral image with a panchromatic image. The proposed energy function consists of two components, a TV0 component and a ∆−1 component. The TV0 term uses the sparse priority to increase the detailed spatial information; while the ∆−1 term removes the block effect of the multi-spectral image. Furthermore, as the proposed energy function is non-convex, we also adopt an alternative minimization algorithm and the L0 gradient minimization to solve it. Experimental results demonstrate the improved performance of the proposed method over existing methods.