Image super-resolution restoration based on adaptive regularization MAP
基于自适应规整化方法的图像超分辨率重建*

A MAP method based on adaptive regularization was proposed for image super-resolution restoration, the prior distribution of the image was assumed in Gaussian-Gibbs field. The solution was adaptively regularized through parameters estimating of prior distribution. Experiment results show that the method can properly retrieve all kinds of edges. In the meanwhile, the PSNR and visual quality of restored high resolution image are improved significantly.