Anisotropic diffusion for noise removal of band pass signals
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2011/05/01
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Journal
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Indian UGC (journal)
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Refrences14
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Citations13
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Sasan Mahmoodi
Cite
Mahmoodi, Sasan. “Anisotropic Diffusion for Noise Removal of Band Pass Signals”. Signal Processing, vol. 91, no. 5, 2011, pp. 1298-07, https://doi.org/10.1016/j.sigpro.2010.12.018.
Mahmoodi, S. (2011). Anisotropic diffusion for noise removal of band pass signals. Signal Processing, 91(5), 1298-1307. https://doi.org/10.1016/j.sigpro.2010.12.018
Mahmoodi, Sasan. “Anisotropic Diffusion for Noise Removal of Band Pass Signals”. Signal Processing 91, no. 5 (2011): 1298-1307. https://doi.org/10.1016/j.sigpro.2010.12.018.
Mahmoodi S. Anisotropic diffusion for noise removal of band pass signals. Signal Processing. 2011;91(5):1298-307.
Journal Categories
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Coupled anisotropic diffusion for image selective smoothing | Signal Processing |
| 20 | 2006 |
| Fast Anisotropic Smoothing of Multi-Valued Images using Curvature-Preserving PDE's | International Journal of Computer Vision |
| 122 | 2006 |
| Generalized Perona-Malik equation for image restoration | IEEE Signal Processing Letters |
| 95 | 1999 |
| Robust anisotropic diffusion | IEEE Transactions on Image Processing |
| 551 | 1998 |
| The Perona–Malik paradox | 1997 |
Refrences Analysis
The category
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics 1
is the most frequently represented among the references in this article. It primarily includes studies from Signal Processing The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
A comparative experimental analysis and deep evaluation practices on human bone fracture detection using x‐ray images | Concurrency and Computation: Practice and Experience |
| 2022 | |
| A survey of fracture detection techniques in bone X-ray images | Artificial Intelligence Review |
| 23 | 2020 |
| A Novel Nonlinear Second Order Hyperbolic Partial Differential Equation-Based Image Restoration Algorithm With Directional Diffusion | IEEE Access |
| 2020 | |
| A hyperbolic partial differential equation model for filtering turbulent flows | Computers & Fluids |
| 6 | 2019 |
An EEMD-Based Denoising Method for Seismic Signal of High Arch Dam Combining Wavelet with Singular Spectrum Analysis | Shock and Vibration |
| 10 | 2019 |
Citations Analysis
The category
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks 5
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Image denoising using modified Perona–Malik model based on directional Laplacian and was published in 2013. The most recent citation comes from a 2022 study titled A comparative experimental analysis and deep evaluation practices on human bone fracture detection using x‐ray images. This article reached its peak citation in 2017, with 4 citations. It has been cited in 11 different journals, 18% of which are open access. Among related journals, the IEEE Access cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.