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- W2391379544 abstract "In order to integrative deal with staircasing effect of ROF model and over-smoothing of high-order regularization,a new model for image denoising was proposed by using second-order symmetric gradient to construct the regularization term in the symmetric tensor space.By analyzing the properties of new model,an efficient primal-dual algorithm is introduced.The new model can effectively reduce the staircase effect because the second-order symmetric gradient is higher than first derivative.Meanwhile,it can maintain the edge because the norm of second-order symmetric gradient is smaller than the norm of Hessian matrix.Both theoretical analysis and simulated results show that the new algorithm has a high converge speed and stability." @default.
- W2391379544 created "2016-06-24" @default.
- W2391379544 creator A5076850070 @default.
- W2391379544 date "2013-01-01" @default.
- W2391379544 modified "2023-09-23" @default.
- W2391379544 title "High-order Regularization Model for Image Denoising in Symmetric Tensor Space" @default.
- W2391379544 hasPublicationYear "2013" @default.
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