Coupled anisotropic diffusion for image selective smoothing

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Luo, HongGen, et al. “Coupled Anisotropic Diffusion for Image Selective Smoothing”. Signal Processing, vol. 86, no. 7, 2006, pp. 1728-36, https://doi.org/10.1016/j.sigpro.2005.09.019.
Luo, H., Zhu, L., & Ding, H. (2006). Coupled anisotropic diffusion for image selective smoothing. Signal Processing, 86(7), 1728-1736. https://doi.org/10.1016/j.sigpro.2005.09.019
Luo H, Zhu L, Ding H. Coupled anisotropic diffusion for image selective smoothing. Signal Processing. 2006;86(7):1728-36.
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Robust anisotropic diffusion IEEE Transactions on Image Processing
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
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Variational approach for edge-preserving regularization using coupled PDEs IEEE Transactions on Image Processing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
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  • Technology: Engineering (General). Civil engineering (General)
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Introduction to the special issue on partial differential equations and geometry-driven diffusion in image processing and analysis IEEE Transactions on Image Processing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
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  • Technology: Engineering (General). Civil engineering (General)
 1998
The Perona–Malik paradox SIAM Journal on Applied Mathematics
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
 1997
Image Selective Smoothing and Edge Detection by Nonlinear Diffusion SIAM Journal on Numerical Analysis
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
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Refrences Analysis
Category Category Repetition
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks7
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics7
Science: Mathematics: Instruments and machines: Electronic computers. Computer science6
Technology: Engineering (General). Civil engineering (General)6
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods4
Science: Mathematics4
Technology: Mechanical engineering and machinery2
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks 7 is the most frequently represented among the references in this article. It primarily includes studies from IEEE Transactions on Image 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
Image denoising based on nonconvex anisotropic total-variation regularization Signal Processing
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
 23 2021
A global sparse gradient based coupled system for image denoising Computers & Mathematics with Applications
  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
 4 2019
Anisotropic diffusion based denoising on X-radiography images to detect weld defects Digital Signal Processing
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
 34 2017
An improved anisotropic diffusion filter with semi-adaptive threshold for edge preservation Signal Processing
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
 51 2016
A Doubly Degenerate Diffusion Model Based on the Gray Level Indicator for Multiplicative Noise Removal IEEE Transactions on Image Processing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
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 2015
Citations Analysis
Category Category Repetition
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks12
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics11
Technology: Engineering (General). Civil engineering (General)7
Science: Mathematics: Instruments and machines: Electronic computers. Computer science5
Science: Mathematics3
Technology: Mechanical engineering and machinery3
Science: Physics: Optics. Light3
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods3
Science: Physics2
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software2
Technology: Photography2
Science: Physics: Acoustics. Sound2
Medicine: Medicine (General): Medical technology1
Medicine: Medicine (General): Medical physics. Medical radiology. Nuclear medicine1
Medicine: Medicine (General)1
Technology: Engineering (General). Civil engineering (General): Applied optics. Photonics1
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks 12 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Image smoothing and sharpening based on nonlinear diffusion equation and was published in 2008. The most recent citation comes from a 2021 study titled Image denoising based on nonconvex anisotropic total-variation regularization. This article reached its peak citation in 2012, with 4 citations. It has been cited in 14 different journals. Among related journals, the Signal Processing cited this research the most, with 5 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year