Investigation of Shift Dependency Effects on Multiresolution-Based Image Fusion Performance

摘要

Image fusion techniques using multiresolution decomposition have become a hot research area due to the fact that it is suitable for multi-scale properties of the human vision system. According to subsampling methods, multiresolution decompositions can be divided into redundant and non-redundant which corresponds to different shift dependency such as shift-variant or shiftinvariant. However, there have been comparatively few studies that have focused on its effects on the fusion performance. This paper investigates shift dependency of various multiresolution-based fusion schemes and analyzes its effects on image fusion performance by quantitative and qualitative methods. We conduct experiments by combining 8 popular multiresolution decomposition methods such as pyramid, wavelet and beyond wavelet with two popular fusion rules. By analyzing and comparing the experimental results, we propose some guidance for using multiresolutionbased fusion schemes.