Improved image denoising through fractional anisotropic diffusion and resolution-tailored differentiation in the Fourier domain-Reference-Cited by-同舟云学术

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Improved image denoising through fractional anisotropic diffusion and resolution-tailored differentiation in the Fourier domain

Published:2024-11 Issue: Volume:467 Page:134248
ISSN:0167-2789
Container-title:Physica D: Nonlinear Phenomena
language:en
Short-container-title:Physica D: Nonlinear Phenomena

Author:

Paskaš Milorad P.^ORCID

Publisher

Elsevier BV

Reference33 articles.

1. Applications of fractional calculus in computer vision: A survey;Arora;Neurocomputing,2022

2. Fractional order derivatives as an optimization tool for object detection and tracking algorithms;Jachowicz;IEEE Access,2022

3. Robust active contour model using patch-based signed pressure force and optimized fractional-order edge;Lv;IEEE Access,2021

4. Fractional-order anisotropic diffusion for image denoising;Bai;IEEE Trans. Image Process.,2007

5. Image denoising using generalized anisotropic diffusion;Bai;J. Math. Imaging Vision,2018

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