Shift Dependency Effects on Multiresolution-Based Image Fusion Performance

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