Image denoising using generalized anisotropic diffusion

DOI10.1007/s10851-018-0790-4zbMath1437.94004OpenAlexW2787274669MaRDI QIDQ1799578

Jian Bai, Xiang Chu Feng

Publication date: 19 October 2018

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10851-018-0790-4

zbMATH Keywords

anisotropic diffusionimage denoisingfractional-order differencefractional-order partial differential equation

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

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An Efficient Feature-Preserving Image Denoising Algorithm Based on a Spatial-Fractional Anisotropic Diffusion Equation, Time-fractional diffusion equation-based image denoising model, Image texture analysis and edge detection algorithm based on anisotropic diffusion equation

Cites Work

• Unnamed Item
• Nonlinear total variation based noise removal algorithms
• A fractional-order derivative based variational framework for image denoising
• A class of fractional-order multi-scale variational models and alternating projection algorithm for image denoising
• Fully fractional anisotropic diffusion for image denoising
• Fractional subpixel diffusion and fuzzy logic approach for ultrasound speckle reduction
• Adaptive fractional-order multi-scale method for image denoising
• A novel solution for pressure drop in singly connected microchannels of arbitrary cross-section
• Iterative image restoration combining total variation minimization and a second-order functional
• Fourth-order partial differential equations for noise removal
• An Adaptive Strategy for the Restoration of Textured Images using Fractional Order Regularization
• A NOVEL NOISE REMOVAL METHOD BASED ON FRACTIONAL ANISOTROPIC DIFFUSION AND SUBPIXEL APPROACH
• Feature-Oriented Image Enhancement Using Shock Filters
• A Total Fractional-Order Variation Model for Image Restoration with Nonhomogeneous Boundary Conditions and Its Numerical Solution
• Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time
• Noise Removal Using Smoothed Normals and Surface Fitting
• Image Selective Smoothing and Edge Detection by Nonlinear Diffusion
• Image Decomposition and Restoration Using Total Variation Minimization and theH¹
• High-Order Total Variation-Based Image Restoration
• Total Generalized Variation