In order to　improve the precision of the registration algorithm and the quality of the super-resolution reconstructed image

an image registration method with sub-pixel precision is proposed. First

the image registration method based on three-parameter model is introduced and optimized. Then

the 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 while Taylor series expanding in the original method is avoided effectively. Finally

according to the movement information with sub-pixel precision gained by these two registration algorithms respectively

super-resolution reconstruction is performed by the adoption of iterative back projection algorithm. Experimental results indicate that this image registration algorithm achieves higher precision. The average translation error is reduced 0.0297 pixels and the average rotation angle error is decreased 0.3564 degree. The reconstructed image has better visual effect and the average PSNR is increased 0.75dB. It can be extensively used in the large multiple super-resolution reconstruction of low-resolution images from which differs mostly by translation and big rotation

which satisfies the requirements of practical application.