POCS super-resolution sequence image reconstruction based on image registration excluded aliased frequency domain

Abstract

The theory of super-resolution image reconstruction and degraded model is introduced in brief, and presents a new super-resolution image reconstruction algorithm. The algorithm can precisely estimate the image registration parameter by excluding aliased frequency domain of the low resolution images and killing the center part of the magnitude spectrum. In order to compute the shifts and the rotation angle, we set up the polar coordinates in the center of the image. By computing the frequency content h as a function of the angle α by integrating over radial lines, the algorithm converts the two-dimension correlation to one-dimension correlation. At last, the POCS method is used to reconstruct high-resolution image from these aliased image sequences. As a result, we find that the reconstruction algorithm has good precision of image registration and good effect of super-resolution image reconstruction.