Noise detection and image denoising based on fractional calculus

DOI10.1016/j.chaos.2019.109463zbMath1495.94007OpenAlexW2980953066WikidataQ126998725 ScholiaQ126998725MaRDI QIDQ2123449

Qi Wang, Jing Ma, Si-Yuan Yu, Li-Ying Tan

Publication date: 8 April 2022

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2019.109463

zbMATH Keywords

fractional calculusimage denoisingnoise detectionalgorithm model

Mathematics Subject Classification ID

Fractional derivatives and integrals (26A33) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (5)

Hybrid variable exponent model for image denoising: a nonstandard high-order PDE approach with local and nonlocal coupling ⋮ A new accurate method for solving fractional relaxation-oscillation with Hilfer derivatives ⋮ Fractional-order diffusion coupled with integer-order diffusion for multiplicative noise removal ⋮ A new efficient algorithm based on feedforward neural network for solving differential equations of fractional order ⋮ Discrete fractional order PID controller design for nonlinear systems

Cites Work

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• Global regularity for a 2D model of electro-kinetic fluid in a bounded domain
• Comparison of Fractional Order Derivatives Computational Accuracy - Right Hand vs Left Hand Definition
• Mean square calculus and random linear fractional differential equations: Theory and applications

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