Super-Resolution Image Restoration Considering Sub-pixel Registration Error
Ju Liu · Dianzi xuebao · 2007
As the second image restoration,super-resolution image restoration has become an active research issue in the field of image restoration.In general,super-resolution image restoration is an ill-posed problem.Prior knowledge about the image can be combined to make the problem well-posed,which contributes to some regularization methods.In these regularization methods,however,regularization parameter was selected by experience in some cases.Other techniques to compute the parameter had too heavy computation cost.In this paper,owing to the introduction of sub-pixel registration error,the statistic model of the error was discussed.And a simple and available method to solve regularization parameter was proposed in term of Miller's regularization.The method to solve regularization parameter can adaptively and locally regulate the distortion introduced by registration error.Simulations demonstrated that the regularization parameter solved by the method could make super-resolution image restoration convergence more efficiently.