Super-resolution image reconstruction based on preconditioned conjugate gradient

A super-resolution image reconstruction method based on the preconditioned conjugate gradient algorithm, which provides a fast convergence rate and improves the resolution by 4 times from 9 low resolution frames, can be used to reconstruct high-resolution images by using redundant information of different multi-frames of the same scene and to overcome the physical limits of an image system in aerospace field. It is very helpful in mining data from available images.