Research on Tikhonov regularization of multiframe images reconstruction algorithm
多帧图像的Tikhonov正则化重建算法研究

This paper introduced theories and characteristics of the Tikhonov regularized super-resolution reconstruction algorithm. Based on the customary regularization technology and the complementary information of the multiframe image sequences, presented a new method for image restoration. By embedding regularization in similarity term of the super-resolution reconstruction algorithm, improved the rectify efficiency of regularization term, and improved the convergence by conjugate gradient method, saved the time of image restoration. The result of experiment and computer simulations show that the performance of this algorithm is better than the traditional method. It is fast, and reduces fuzzy edge of the images.