In order to improve the precision of registration algorithm and the quality of reconstructed image, an image registration method with sub-pixel precision is proposed,and super-resolution reconstruction is performed through iterative back projection algorithm. Firstly, an image registration method based on three-parameter model is introduced. Then, an image registration algorithm based on four-parameter model is proposed. Because the rotation angle is not directly included in the movement model, the hypothesis of small rotation angle in Taylor series expanding in original method is avoided effectively. Finally, according to the movement information with sub-pixel precision gained by registration algorithms, super-resolution reconstruction is performed with iterative back projection algorithm. The experiments on simulated and real low-resolution images with big movement are carried out respectively,and the results indicate that proposed image registration algorithm obtains a higher reconstruction precision. The average translation error is reduced by 0.026 1 pixels and the average rotation angle error is decreased by 0.356 4°. The reconstructed image has better visual effect and the average PSNR is increased by 0.75 dB. These results show that proposed method can be used in the large multiple super-resolution reconstruction of low-resolution images with translation and big rotation, and can meet the requirements of practical application.