By applying generalized Gaussian distribution to statistically model the alternating current coefficient of discrete cosine transform,the technology of the blind image watermark is studied and the performance of the new detector is analyzed.

This dissertation intensively explores several typical algorithm of blind image restoration.

To cope with the uncertainty of the solution s uniqueness and convergence in the iterative blind deconvolution(IBD) method,a novel wavelet-based iterative blind image restoration algorithm is proposed.

Blind image restoration is to recover the original image form the observed degraded image with unknown the Point Spread Function (PSF).

Regularization algorithm for blind image restoration based on wavelet transform;

Based on NAS-RIF algorithm for blind image restoration proposed by Deepa Kundur, an improved method is proposed in this paper.

Based on original Nonnegativity and Support constraint Recursive Inverse Filtering(NAS-RIF) algorithm,an improved blind image restoration algorithm was proposed.

Mainly research blind image restoration.

In this thesis, the research is based on image blind restoration and improving image spatial resolution, which aims at researching image blind restoration methods to estimate original undistorted image by means of known or unknown partial prior knowledge about blurred image itself and (or) imaging system, also, researching super resolu.

The research of image blind restoration not only is important theoretically, but also has urgent demand in actual applications, and it has become an active topic in recent years.