A new construction of a fractional derivative mask for image edge analysis based on Riemann-Liouville fractional derivative
DOI10.1186/s13662-016-0946-8zbMath1419.34009OpenAlexW2519383483WikidataQ59460544 ScholiaQ59460544MaRDI QIDQ1628075
Peter Amoako-Yirenkyi, Isaac Kwame Dontwi, Justice Kwame Appati
Publication date: 3 December 2018
Published in: Advances in Difference Equations (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1186/s13662-016-0946-8
Biomedical imaging and signal processing (92C55) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Fractional ordinary differential equations (34A08)
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Cites Work
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- On generalized Srivastava-Owa fractional operators in the unit disk
- Denoising algorithm based on generalized fractional integral operator with two parameters
- Texture enhancement based on the Savitzky-Golay fractional differential operator
- A novel edge detection method based on the maximizing objective function
- Construction of multivariate compactly supported prewavelets in \(L_{2}\) space and pre-Riesz bases in Sobolev spaces
- Construction of multivariate compactly supported tight wavelet frames
- Fractional differential approach to detecting textural features of digital image and its fractional differential filter implementation
- Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations
- Construction of bivariate compactly supported biorthogonal box spline wavelets with arbitrarily high regularities
- Box Spline Wavelet Frames for Image Edge Analysis
- Edge Detection Filter based on Mumford–Shah Green Function
- Optimal approximations by piecewise smooth functions and associated variational problems
- Improved Total Variation-Type Regularization Using Higher Order Edge Detectors
- Active contours without edges
- A Decomposition Framework for Image Denoising Algorithms
- Blind Estimation of Blur Kernels and Parameters from a Single Image
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