Incremental Wiener Filter and Space-Adaptive Regularization Based Super-Resolution Image Restoration
基于增量维纳滤波和空间自适应规整的超分辨率图像复原

A new method of super-resolution image restoration is proposed in the paper. In this method, the piecewise smoothness of space-adaptive regularization combines with the rapid convergence of incremental Wiener filter and through an iteration process with a priori constraint about image, one super-resolution image is estimated from several low-resolution images. Simulations show that the method can implement restoration effectively and has good convergence.