Super-resolution image reconstruction refers to as restoring a high-resolution and high-quality image from multiple low-resolution observations degraded by warping, blurring, noise and aliasing.

Super-resolution image reconstruction technique refers to restoring a high-resolution and high-quality image from multiple low-resolution observations (or a video sequence) degraded by warping, blurring, noise and aliasing.

Image super-resolution reconstruction is a technique to estimate a high-resolution image (or sequence) from a single image or an image sequence having slight difference and combating additive noise and blurring due to the finite detector size and optics.

The application of the technology of the super-resolution image reconstruction in the relative position measure between spacecrafts;

On the base of the analysis of single image super-resolution reconstruction, the paper builds a new image degenerating model and discusses the similarities and differences between the proposed model and classic image restoration model, and then analyzes the algorithm implementation steps.

On the basis of Har ri s theory of image super-resolution,the inconsistency in the traditional theory of image super-resolution is analyzed and the model of image formation is impr oved.