BLIND DECONVOLUTION USING SHEARLET -TV REGULARIZATION

Z. Mousavi, R. Mokhtari, M. Lakestani

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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.

Keywords

shearlet, total variation, blind deconvolution, Fast ADMM, Image processing.