BLIND DECONVOLUTION USING SHEARLET -TV REGULARIZATION

Abstract

In this article we propose two minimization models for blind deconvolution. In the rst model, we use shearlet transform as a regularization term for recovering image. Also total variation method is used as a regularization term for point spread function PSF . To speed up the process, Fast ADMM approach is exploited. In the second model, shearlet transform is utilized as a regularization term for both image and PSF.