Multi-focus Image Fusion Framework Using Total Variation and Phase Congruency

Multi-scale decomposition (MSD) strategy is wildly applied to extract characteristics at different scales in image fusion field, and then the different image components will stay in different layers. To avoid the negatively impact that using the same fusion rule on different scales, a Gaussian filter MSD-based of fusion method with total variation (TV) and phase congruency (PC) is proposed in this paper. This framework consists of three parts: First, decompose the source images into base layer and detail layer through Gaussian filter; Then, TV and PC are set as the representations of base and detail layers, respectively; Finally, combine the fusing two layers to reconstruct the fused image. Some fusion methods and several quantitative analyses are displayed, and the experimental results show that the proposed method has a superior performance compared with some other popular fusion methods, both in human vision and objective evaluations.