Abstract:Due to the constraints of data acquisition time, irradiation dose and geometric position of imaging system scanning, the technology of computer tomography(CT) can only get the data in the limited angle range or the less projection angle at present, which are incomplete angle reconstruction problems. Therefore, the image reconstruction algorithm becomes particularly important. This paper will apply some existing regularization super-resolution reconstruction algorithms to CT images and give a series of comparative analysis, with the effects of reconstruction analyzed under different algorithms. Firstly, the low resolution CT images are registered, and then the spline interpolation is used to enlarge the image. Finally, the image is reconstructed by using the regularization algorithm. Experimental results show that the application of the regularization algorithm can improve the image resolution to a certain extent, and the reconstruction effect is the best with the bilateral regularization, and the L2 norm based total variation regularization is less effective.