Motion estimation of aliased images using the phase correlation

Abstract

The sharpness of image is an important parameter to interpreting and extracting the information of image which it contains, for increasing the resolution of image. In this paper we present a framework for motion estimation of high-resolution image using the sub-pixel registration. In the simulation we need a set of low-resolution images created from a high-resolution image to perform the sub-pixel registration using the phase correlation, to estimate the shift motion between each low-resolution image and the reference image. A high-resolution image is then reconstructed using bicubic interpolation. Finally, this framework is tested and compared to other frequency methods of shift estimation, the simulation results show the performance of our framework than the other frequency methods of super-resolution.