No. 25 (242), issue 9Pages 32 - 42

STABLE METHODS FOR RECONSTRUCTION OF NOISY IMAGES

Т.I. Serezhnikova
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.
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Keywords
numerical methods, algorithms, ill-posed problems, inverse problems, iterative regularization, nonsmooth optimization.