A total variation model based on the strictly convex modification for image denoising

DOI10.1155/2014/948392zbMath1474.94032OpenAlexW2153526357WikidataQ59043049 ScholiaQ59043049MaRDI QIDQ1725346

Jiebao Sun, Elisha Achieng Ogada, Boying Wu, Zhichang Guo

Publication date: 14 February 2019

Published in: Abstract and Applied Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/948392

Mathematics Subject Classification ID

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

Related Items

On some multiple solutions for a \(p(x)\)-Laplacian equation with critical growth, Perona-Malik model with self-adjusting shape-defining constant, Existence and uniqueness of weak solutions for a new class of convex optimization problems related to image analysis, Robust edge detector based on anisotropic diffusion-driven process

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Nonlinear total variation based noise removal algorithms
• The structure of images
• An evolution problem for plastic antiplanar shear
• Image recovery via total variation minimization and related problems
• Parabolic quasilinear equations minimizing linear growth functionals
• An alternative variational framework for image denoising
• Adaptive total variation for image restoration in BV space
• Mathematical Models for Local Nontexture Inpaintings
• Image Selective Smoothing and Edge Detection by Nonlinear Diffusion
• Analysis of bounded variation penalty methods for ill-posed problems
• Minimization Problems and Associated Flows Related to Weighted p Energy and Total Variation
• New tight frames of curvelets and optimal representations of objects with piecewise C² singularities
• Explicit Algorithms for a New Time Dependent Model Based on Level Set Motion for Nonlinear Deblurring and Noise Removal
• High-Order Total Variation-Based Image Restoration
• A Mathematical Study of the Relaxed Optical Flow Problem in the Space $BV (\Omega)$
• An Introduction to Partial Differential Equations
• Aspects of Total Variation RegularizedL¹Function Approximation
• Adaptive Perona–Malik Model Based on the Variable Exponent for Image Denoising
• Variable Exponent, Linear Growth Functionals in Image Restoration
• Fast Discrete Curvelet Transforms
• Convex functions and their applications. A contemporary approach
• A study in the BV space of a denoising-deblurring variational problem
• Multiplicative Noise Removal Using L1 Fidelity on Frame Coefficients