Kernel based telegraph-diffusion equation for image noise removal

DOI10.1155/2014/283751zbMath1407.94030OpenAlexW2028921745WikidataQ59065420 ScholiaQ59065420MaRDI QIDQ1718037

Cheng-Yi Zhang, Yu-Qian Yang

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/283751

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) PDEs in connection with information and communication (35Q94)

Related Items (2)

On the development of a coupled nonlinear telegraph-diffusion model for image restoration ⋮ A Gray Level Indicator-Based Regularized Telegraph Diffusion Model: Application to Image Despeckling

Cites Work

• Unnamed Item
• Unnamed Item
• Nonlinear total variation based noise removal algorithms
• An anisotropic fourth-order diffusion filter for image noise removal
• A class of nonlinear parabolic-hyperbolic equations applied to image restoration
• On the evolution of curves via a function of curvature. I: The classical case
• Geometry-driven diffusion in computer vision
• Ramp preserving Perona-Malik model
• 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
• Image Selective Smoothing and Edge Detection by Nonlinear Diffusion
• Robust Scale-Space Filter Using Second-Order Partial Differential Equations

This page was built for publication: Kernel based telegraph-diffusion equation for image noise removal