FREBAS Domain Super-Resolution Reconstruction of MR Images

Satoshi Ito¹, Yoshifumi Yamada¹

Super-resolution is a method of generating images beyond the limit of the resolution. Recently, a method by which to realize super-resolution by a technique that performs registration by a sub-pixel unit from several pieces of an image has been reported. Gerchberg-Papoulis (GP) method is known to realize super-resolution from a single image and signal, however, spatial resolution will not be improved well when it is based on the Fourier transform. On the other hand, GP method involving convolution integral can expand the signal band easily and the resultant image has higher resolution. In this study, we investigated the super-resolution of images using FREBAS transform that can be considered as a kind of multi-resolution image analysis based on convolution integral. Improvement of resolution on the image space with reference to the scaling parameter of FREBAS transform is examined.