Research of Super-Resolution Reconstruction based on Zooming Image Sequence

Image super-resolution reconstruction based on zooming sequence is a good solution to image quality enhancement for low resolution video. This paper proposes an iterative back projection (IBP) algorithm based method to reconstruct a high resolution image from low resolution zooming image sequence. Firstly, we perform image registration based on scale-invariant feature transform (SIFT) with adaptive ratio to acquire precise matching points. Then, an ergodic method is adopted to yield the best reconstructed results from each iteration. Experiment results show that our proposed algorithm can not only enhance the details of image but also enables the reconstructed image to achieve better visual effect compared with bi-cubic interpolation.