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Deblurring and denoising of images with minimization of variation and negative norms
2007
ANZIAM journal (Print)
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A method based on the minimization of variation is presented for the identification of a completely unknown blur operator. We assume the knowledge of a blurred image and its original version. The class of blurring operators is identified in the class of compact operators. A variational method with negative norms is then used for the restoration of a blurred and noised image. The restoration method works for a wide class of blurring operators and we do not assume that the blur operator commutes
doi:10.1017/s1446181100012761
fatcat:yl76qhqwo5a5fgeum7ub72kl6a