Focus is limited and singular in many image capture devices. Therefore, different focused objects at distances are obtained a single taken. Image fusion can be defined as the acquisition of multiple by combining important information from two or more images into image. In this paper, new multi-focus method based on Bat Algorithm (BA) presented Multi-Scale Transform (MST) to overcome limitations...

As an important branch in the field of image fusion, multi-focus fusion technique can effectively solve problem optical lens depth field, making two or more partially focused images fuse into a fully image. In this paper, methods based on boundary segmentation was put forward as group method. Thus, novel classification method algorithms is proposed: transform domain methods, deep learning and c...

Abstract An effective multi-focus image fusion algorithm based on random walk is proposed in this paper. Random and guided filter have attracted extensive attention fusion. usually used to solve probability problems it has a good smoothing effect, can preserve the gradient information of well. The combination two algorithms better retain edge input image. Six sets source images five existing me...