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The variational models for multiplicative noise removal have been received considerable attention recently. A general variational model for different cases of multiplicative noise removal is proposed, which includes a data term and a regularization term. The data term can be derived from Gauss, Rayleigh, Gamma, Poisson distribution of noises, the regularization term can be TV (Total Variation), PM...
Images can be decomposed into structural component and textural component with the variational OSV (Osher-Sole-Vese) model for image decomposition, but the minimization problem must be realized through solving some 4th order partial differential equations (PDE) by means of complex finite difference scheme for Laplacian of curvature which leads to low computational efficiency. The Split Bregman method...
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