Abstract: This paper proposes an image restoration algorithm for remote sensing image to eliminate irregular sampling effect. The algorithm combines the ACT algorithm and the total variation to eliminate several degradation artifacts, and integrates the nonlocal means operator to propose a remote sensing image restoration model based on nonlocal total variation to eliminate irregular sampling effect, then uses operator splitting method and extended Chambolle’s projection algorithm to solve the model. Experimental results show that the proposed algorithm can reduce the staircase effect effectively and improve the detail information of the restored image.