Aiming at the limitation of single blu r image restoration and the universality of video applications,a fast and robust video restoration approach based on space-time volume and augmented Lagrangian is proposed. Firstly,the characteristics of image restoration and video restoration are com pared and analyzed,the three-dimensional deconvolution of video restoration operator is studied,and the realized process and performance of the existing video restoration methods are analyzed and summarized.And then,on the basis of the idea of space-time volume,the temporal error and spatial error i s controlled through spatio-temporal isotropic total variation,and an augmented Lagrangian based method is introduce d to implement the total variation regularization problem.Finally,the problem of total variation minimization is achieved by solving the u sub-problem and f sub-problem in the form of Lagrangian,and the parameters are studied and discussed in the process of regularization,which achieves fast and robust video restoration at l ast.The experimental results based on both simulated images and real videos show that the performance of the propos ed approach is superior to the current state of the art methods in the aspect of running time and several visua l assessment indices,which can efficiently achieve the task of fast image and video restoration.