A simple and flexible modification of Grünwald-Letnikov fractional derivative in image processing

DOI10.1007/S40096-018-0260-6zbMath1417.94009OpenAlexW2889186824MaRDI QIDQ1992006

Yanyan Li

Publication date: 2 November 2018

Published in: Mathematical Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40096-018-0260-6

zbMATH Keywords

edge detectionimage enhancementGrünwald-Letnikov fractional derivative

Mathematics Subject Classification ID

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

Cites Work

• Fractional differentiation for edge detection
• Fractional calculus and its applications. Proceedings of the international conference held at the University of New Haven, June 1974
• Fractional differential equations. An introduction to fractional derivatives, fractional differential equations, to methods of their solution and some of their applications
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• A Fractional-Order Variational Framework for Retinex: Fractional-Order Partial Differential Equation-Based Formulation for Multi-Scale Nonlocal Contrast Enhancement with Texture Preserving
• Fractional diffusion equation-based image denoising model using CN–GL scheme
• Fractional Differential Mask: A Fractional Differential-Based Approach for Multiscale Texture Enhancement

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