Image denoising using modified Perona–Malik model based on directional Laplacian

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Wang, Y.Q., et al. “Image Denoising Using Modified Perona–Malik Model Based on Directional Laplacian”. Signal Processing, vol. 93, no. 9, 2013, pp. 2548-5, https://doi.org/10.1016/j.sigpro.2013.02.020.
Wang, Y., Guo, J., Chen, W., & Zhang, W. (2013). Image denoising using modified Perona–Malik model based on directional Laplacian. Signal Processing, 93(9), 2548-2558. https://doi.org/10.1016/j.sigpro.2013.02.020
Wang, Y.Q., Jichang Guo, Wufan Chen, and Wenxue Zhang. “Image Denoising Using Modified Perona–Malik Model Based on Directional Laplacian”. Signal Processing 93, no. 9 (2013): 2548-58. https://doi.org/10.1016/j.sigpro.2013.02.020.
Wang Y, Guo J, Chen W, Zhang W. Image denoising using modified Perona–Malik model based on directional Laplacian. Signal Processing. 2013;93(9):2548-5.
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Electrical engineering
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Nuclear engineering
Electric apparatus and materials
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Technology
Electrical engineering
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Nuclear engineering
Electronics
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Category Category Repetition
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics4
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Science: Mathematics: Instruments and machines: Electronic computers. Computer science4
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software2
Science: Physics: Optics. Light2
Technology: Mechanical engineering and machinery2
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Refrences used by this article by year
Citations
Title Journal Journal Categories Citations Publication Date
A fast computational technique based on a novel tangent sigmoid anisotropic diffusion function for image-denoising Soft Computing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 2024
Time fractional diffusion equation based on Caputo fractional derivative for image denoising Optics & Laser Technology
  • Technology: Engineering (General). Civil engineering (General): Applied optics. Photonics
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  • Science: Physics: Acoustics. Sound
  • Science: Physics: Optics. Light
  • Technology: Chemical technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Technology: Engineering (General). Civil engineering (General)
 2024
Superpixel Segmentation Based on Anisotropic Diffusion Model for Object-Oriented Remote Sensing Image Classification IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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  • Science: Physics: Geophysics. Cosmic physics
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A novel diffusivity function-based image denoising for MRI medical images Multimedia Tools and Applications
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Citations Analysis
Category Category Repetition
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks21
Technology: Engineering (General). Civil engineering (General)19
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics18
Science: Mathematics16
Science: Mathematics: Instruments and machines: Electronic computers. Computer science9
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods8
Science: Science (General): Cybernetics: Information theory8
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication7
Technology: Electrical engineering. Electronics. Nuclear engineering6
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software6
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware5
Science: Physics4
Technology: Engineering (General). Civil engineering (General): Applied optics. Photonics3
Science: Physics: Optics. Light3
Science: Physics: Acoustics. Sound3
Technology: Chemical technology3
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials3
Medicine3
Science3
Science: Science (General)3
Technology: Mechanical engineering and machinery3
Technology: Photography3
Science: Biology (General)1
Science: Chemistry1
Science: Chemistry: General. Including alchemy1
Technology: Technology (General): Industrial engineering. Management engineering1
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry1
Medicine: Medicine (General): Medical technology1
Technology: Ocean engineering1
Science: Physics: Geophysics. Cosmic physics1
Geography. Anthropology. Recreation: Geography (General)1
Science: Geology1
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks 21 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Anisotropic second and fourth order diffusion models based on Convolutional Virtual Electric Field for image denoising and was published in 2013. The most recent citation comes from a 2024 study titled A fast computational technique based on a novel tangent sigmoid anisotropic diffusion function for image-denoising. This article reached its peak citation in 2022, with 8 citations. It has been cited in 31 different journals, 29% of which are open access. Among related journals, the Computers & Mathematics with Applications cited this research the most, with 7 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year