Stable methods for reconstruction of noisy images

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We consider the numerical reconstruction of noisy images by using two regularization algorithms. The basis of algorithms is Tikhonov regularization with two special nondifferentiable stabilizers. To solve the problem of a nonsmooth minimizing the proximal method and the subgradient process are involved. The results of calculations on the supercomputer «Uranus» are presented.

Numerical methods, algorithms, ill-posed problems, inverse problems, iterative regularization, nonsmooth optimization

Короткий адрес: https://sciup.org/147159098

IDR: 147159098

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