An improved fractional-order optical flow model for motion estimation

DOI10.1155/2018/6278719zbMath1427.94035OpenAlexW2802482620WikidataQ129853000 ScholiaQ129853000MaRDI QIDQ1721210

Lixin Shi, Bin Zhu, Qiuxia Wu, Qiliang Du, Lianfang Tian

Publication date: 8 February 2019

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

Full work available at URL: https://doi.org/10.1155/2018/6278719

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Fractional derivatives and integrals (26A33) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

• Fractional-order total variation image denoising based on proximity algorithm
• Optical flow with fractional order regularization: variational model and solution method
• Fractional differential equations. An introduction to fractional derivatives, fractional differential equations, to methods of their solution and some of their applications
• Image restoration with a high-order total variation minimization method
• Formulation of Euler-Lagrange equations for fractional variational problems
• Fractional calculus in image processing: a review
• Determining optical flow
• High-Order Total Variation-Based Image Restoration
• Derivatives of Noninteger Order
• Fractional Differential Mask: A Fractional Differential-Based Approach for Multiscale Texture Enhancement
• Fractional-order variational optical flow model for motion estimation

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