Color image restoration and inpainting via multi-channel total curvature
DOI10.1016/j.apm.2018.04.017zbMath1460.94014OpenAlexW2801252031WikidataQ113104121 ScholiaQ113104121MaRDI QIDQ2308210
Lu Tan, Zhenkuan Pan, Wanquan Liu
Publication date: 26 March 2020
Published in: Applied Mathematical Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.apm.2018.04.017
projection methodalternating direction method of multipliers (ADMM)L1 normfast Fourier transform (FFT)generalized soft threshold formulasmulti-channel total curvature (MTC)
Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Numerical methods for discrete and fast Fourier transforms (65T50) Fourier and Fourier-Stieltjes transforms and other transforms of Fourier type (42A38) Channel models (including quantum) in information and communication theory (94A40)
Related Items (3)
Uses Software
Cites Work
- Nonlinear total variation based noise removal algorithms
- A fast modified Newton's method for curvature based denoising of 1D signals
- Properties of higher order nonlinear diffusion filtering
- Image recovery via total variation minimization and related problems
- Image segmentation with depth information via simplified variational level set formulation
- Image restoration with a high-order total variation minimization method
- Variational restoration and edge detection for color images
- A combined first and second order variational approach for image reconstruction
- Fast dual minimization of the vectorial total variation norm and applications to color image processing
- Augmented Lagrangian method for a mean curvature based image denoising model
- Fourth-order partial differential equations for noise removal
- Image Denoising Using Mean Curvature of Image Surface
- A Fast Algorithm for Euler's Elastica Model Using Augmented Lagrangian Method
- Nonlocal Operators with Applications to Image Processing
- A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
- A Fast Algorithm for Edge-Preserving Variational Multichannel Image Restoration
- Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time
- Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration for ROF, Vectorial TV, and High Order Models
- Segmentation with Depth: A Level Set Approach
- Digital filters as absolute norm regularizers
- High-Order Total Variation-Based Image Restoration
- Fast numerical schemes related to curvature minimization: a brief and elementary review
- Euler's Elastica and Curvature-Based Inpainting
- Minimizers of Cost-Functions Involving Nonsmooth Data-Fidelity Terms. Application to the Processing of Outliers
- Digital inpainting based on the Mumford–Shah–Euler image model
- Fast Alternating Direction Optimization Methods
- Illusory Shapes via Corner Fusion
- A New Augmented Lagrangian Approach for $L^1$-mean Curvature Image Denoising
- A Ridge and Corner Preserving Model for Surface Restoration
- Aspects of Total Variation RegularizedL1Function Approximation
- Handbook of Mathematical Models in Computer Vision
- Nonlocal Mumford-Shah Regularizers for Color Image Restoration
- Hessian-Based Norm Regularization for Image Restoration With Biomedical Applications
- Image Processing and Analysis
- A relaxed fixed point method for a mean curvature-based denoising model
- Total Generalized Variation
This page was built for publication: Color image restoration and inpainting via multi-channel total curvature