Image structure-preserving denoising based on difference curvature driven fractional nonlinear diffusion
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Publication:1666973
DOI10.1155/2015/930984zbMath1395.94186OpenAlexW2073173516WikidataQ59120321 ScholiaQ59120321MaRDI QIDQ1666973
Publication date: 27 August 2018
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2015/930984
Fractional derivatives and integrals (26A33) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Fractional partial differential equations (35R11)
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- Nonlinear total variation based noise removal algorithms
- An anisotropic fourth-order diffusion filter for image noise removal
- A class of fractional-order multi-scale variational models and alternating projection algorithm for image denoising
- Fully fractional anisotropic diffusion for image denoising
- A variational method using fractional order Hilbert spaces for tomographic reconstruction of blurred and noised binary images
- A variational approach to remove outliers and impulse noise
- Adaptive fractional-order multi-scale method for image denoising
- A novel solution for pressure drop in singly connected microchannels of arbitrary cross-section
- Fourth-order partial differential equations for noise removal
- Denoising an Image by Denoising Its Curvature Image
- Image Denoising Using Mean Curvature of Image Surface
- Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time
- Image denoising using scale mixtures of gaussians in the wavelet domain
- Image Selective Smoothing and Edge Detection by Nonlinear Diffusion
- Edge-preserving and scale-dependent properties of total variation regularization
- High-Order Total Variation-Based Image Restoration
- Euler's Elastica and Curvature-Based Inpainting
- Minimizers of Cost-Functions Involving Nonsmooth Data-Fidelity Terms. Application to the Processing of Outliers
- Aspects of Total Variation RegularizedL1Function Approximation
- Fractional Differential Mask: A Fractional Differential-Based Approach for Multiscale Texture Enhancement
- A Review of Image Denoising Algorithms, with a New One
- Total Generalized Variation