Adaptive extraction of oil painting texture features based on reaction diffusion equation

DOI10.1155/2021/4464985zbMath1496.76129OpenAlexW3210505688MaRDI QIDQ2064693

Qicai Huang

Publication date: 6 January 2022

Published in: Advances in Mathematical Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2021/4464985

zbMATH Keywords

thermal diffusionregularization methodLaplace flowoil painting classificationtotal variation diffusion

Mathematics Subject Classification ID

Diffusion (76R50) Reaction effects in flows (76V05) Mathematical modeling or simulation for problems pertaining to fluid mechanics (76-10)

Cites Work

• A novel method for image segmentation using reaction-diffusion model
• Generating patient-specific virtual tumor populations with reaction-diffusion models and molecular imaging data
• An efficient GPU-based fractional-step domain decomposition scheme for the reaction-diffusion equation
• A nonlinear fractional reaction-diffusion system applied to image denoising and decomposition
• Existence and uniqueness of an entropy solution for a nonlinear reaction-diffusion system applied to texture analysis
• Reaction-diffusion equation based image restoration
• An improved spatially controlled reaction-diffusion equation with a non-linear second order operator for image super-resolution
• A Linear Reaction-Diffusion System with Interior Degeneration for Color Image Compression
• A NEW NONLOCAL MODEL FOR THE RESTORATION OF TEXTURED IMAGES
• Multiplicative Noise Removal for Texture Images Based on Adaptive Anisotropic Fractional Diffusion Equations

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