POCS Super-Resolution Sequence Image Reconstruction Based on Improvement Approach of Keren Registration Method

This paper introduces the keren sub-pixel registration method in detail,and points out its disadvantage.Moreover,this paper puts forward a new improvement approach about keren method and its iterative method.The improvement approach base on the four parameters affine transformation model and refuses the rigid body transformation model.This change avoids the error that is brought on by the tailor series expansion of angle and improves the precise of image registration greatly.The experiment shows that the improvement approach makes less absolute error of angle than keren method and its iterative algorithm.The improvement approach makes the absolute error of translation parameters under 0.1 pixel in the case of the rotation angel of 15 degree and under 0.01 pixel in the case of the small rotation angle.At last,the POCS method is used to reconstruct high-resolution image from 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.