A fast super-resolution reconstruction algorithm based on adaptive anisotropic regularization is proposed to overcome the low speed of traditional super-resolution reconstruction algorithms.This al gorithm can improve the speed of image reconstruction,while the quality of the i mage is also reconstructed very well.Based on the traditional iterative model,th e constraint condition is optimized,and the redundant processes are deleted to a void the disadvantages of traditional methods.A adaptive anisotropic smoothing t erm is proposed ot preserve the sharper edges effectively. In addition,the cut-off condition of reconstructed iteration is proposed based on the peak signal-to-noise ratio (P SNR) of the image.Th e algorithm is applied to reconstruct the sequence low- resolution image,and it is proved that the algorithm can realize the super-r esolution reconstruction more quickly.