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

This paper introduces the keren sub-pixel registration method and point out its disadvantage. Moreover, this paper put forward a new improvement approach about keren method and its iterative method. The improvement approach takes the four parameters affine transformation model instead of 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 pixels in the case of the rotation angel of 15 degree and under 0.01 pixels in the case of the small rotation angle using our pictures. At last, the projection onto convex set (POCS) method is used to reconstruct high-resolution image from several low-resolution image sequences. As a result, we find that the reconstruction algorithm based on our improvement registration approach has better effect than the reconstruction algorithm based on keren iterative registration method