Blind image restoration based on total variation regularization of blurred images
Kyosuke Ohkoshi, Tomio Goto, Satoshi Hirano, Masaru Sakurai · 2012
In this paper, we propose a novel blind image restoration method based on total variation (TV) regularization. It involves alternate iteration of point spread function (PSF) estimation and deconvolution. Using this method, we can obtain clear images from blurred images without an increase in noise and ringing. Thus, blurred images captured using digital cameras can be restored effectively.