There are great gray-level differences between multi-sensor images

which make it very difficult to register them. An auto-correlation model of gray-level difference is described in this paper

which is assumed an ergodic wide-sense stationary two-dimensional random field with zero mean value in a local region. This research will be a powerful support to gray-level difference rectifying of multi-sensor images. Experiment results show the validity of the proposed auto-correlation model.