New Regularization Models for Image Denoising with a Spatially Dependent Regularization Parameter

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New Regularization Models for Image Denoising with a Spatially Dependent Regularization Parameter

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im Januar 2013 veröffentlichter wissenschaftlicher Artikel

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wetenschappelijk artikel

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наукова стаття, опублікована у 2013

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New Regularization Models for ...... ndent Regularization Parameter

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New Regularization Models for ...... ndent Regularization Parameter

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New Regularization Models for ...... ndent Regularization Parameter

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New Regularization Models for ...... ndent Regularization Parameter

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New Regularization Models for ...... ndent Regularization Parameter

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New Regularization Models for ...... ndent Regularization Parameter

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P1476

New Regularization Models for ...... ndent Regularization Parameter

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P2093

Tian-Hui Ma

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Ting-Zhu Huang

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Xi-Le Zhao

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P2860

Noise removal using smoothed normals and surface fitting.

Fourth-order partial differential equations for noise removal.

Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time.

Variational denoising of partly textured images by spatially varying constraints.

The staircasing effect in neighborhood filters and its solution.

On the Douglas—Rachford splitting method and the proximal point algorithm for maximal monotone operators

Edge-preserving and scale-dependent properties of total variation regularization

High-Order Total Variation-Based Image Restoration

Spatially dependent regularization parameter selection in total generalized variation models for image restoration

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1-15

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scholarly article

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10.1155/2013/729151

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2013

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2013-01-01T00:00:00Z

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