Image Fusion Based on Combined Multi-scale Decomposition and Improved Sparse Representation

Abstract

A new method of combined multi-scale decomposition and improved sparse representation (MSD-ISR) used in image fusion is proposed in this paper which has three advantages. As is known that it is hard to determine the decomposition level and it may achieve low contrast in multi-scale decomposition. The proposed MSD-ISR method can solve this problem and on the other hand, we get a higher efficiency in the process of sparse decomposition as well as better preserve the information of the source image. Experimental results show that the proposed MSD-ISR method can achieve better fusion results.