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We provide a novel Fourier domain convergence analysis for blind deconvolution using the quadratic upper-bounded total variation (TV) as the regularizer. Though quadratic upper-bounded TV leads to a linear system in each step of the alternate minimization (AM) algorithm used, it is shift-variant, which makes Fourier domain analysis impossible. So we use an approximation which makes the system shift...
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