To achieve better detection performance,this paper proposes a steganalysis algorithm applied to spatial image,by combing the image degradation/restoration theory with steganalysis.

By analysis on image degradation of X-ray imaging system, the restoration method of inverse filtering was introduced and an approximate restoration algorithm was proposed.

Image gray degradation and geometric transform are treated as image degradation,and image degradation invariant is proposed,and the construction of degradation invariant is analyzed.

In this paper the influences of imaging system on static image are discussed and modeling of image degradation isestablished (especially the transfer function) taking the transfer functions of the component parts of the system into consideration.

Research on Multi-temporal Remote Sensing Image Restoration;

3-D microscopical image restoration based on anisotropic Markov random field in wavelet domain;

Adaptive super-resolution image restoration based on regularization in spatial domain;

Method of image reconstruction microscopically measure the surface flaw of LiNbO_3;

This paper based on the traditional technology that combination image processing with microscopic measurement, in view of the deblurring image, applied image reconstruction in microscopic measurement technology, intensified the precision .