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- W2384854422 abstract "In this paper,a modified bound constrained regularization model was proposed for image denoising and deblurring.In the model,we choose the variable exponent linear growth function proposed by Levine as the regularization term and choose the regularization parameters adaptively according to the image local feature.It not only preserves the advantage of the total variation regularization model,but also reduces staircase.Then,we introduce some bound constraints to the modified model,such as limit the range of u,to improve the quality of the restored image.At last,the constrained minimization problems are solved by primal-dual active-set method,essentially a semi-smooth Newton's method.The numerical results show that our method is feasible and valid." @default.
- W2384854422 created "2016-06-24" @default.
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- W2384854422 date "2009-01-01" @default.
- W2384854422 modified "2023-09-23" @default.
- W2384854422 title "A Primal-dual Active-set Method for Modified Bound Constrained Image Restoration Problems" @default.
- W2384854422 hasPublicationYear "2009" @default.
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