A regularization framework for joint blur estimation and super-resolution of video sequences


In traditional digital image restoration, the blurring process of the optic is assumed known. Many previous research efforts have been trying to reconstruct the degraded image or video sequence with either partially known or totally unknown point spread function (PSF) of the optical lens, which is commonly called the blind deconvolution problem. Many… (More)
DOI: 10.1109/ICIP.2005.1530395


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