Super-resolution image restoration technique can increase the resolution of the obtained images without altering the system hardware conditions.The image degradation mechanism is studied,and a precise image degradation process model is established.Then,an improved hybrid MAP-POCS restoration algorithm is proposed,which adds the convex set constraints to the MAP estimation process and uses the peak signal to noise ratio(PSNR) to evaluate the recovery image quality.The simulation results show that the improved hybrid algorithm can ensure the convergence stability of the restoration,maintain the edge details of the restored image,and enhance the effect of the super-resolution restoration.