A Blind Poisson–Gaussian Noise Separation Using Learning Copula Densities

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Cite
Ghazdali, Abdelghani, et al. “A Blind Poisson–Gaussian Noise Separation Using Learning Copula Densities”. Circuits, Systems, and Signal Processing, vol. 42, no. 11, 2023, pp. 6564-90, https://doi.org/10.1007/s00034-023-02326-1.
Ghazdali, A., Hadri, A., Laghrib, A., & Nachaoui, M. (2023). A Blind Poisson–Gaussian Noise Separation Using Learning Copula Densities. Circuits, Systems, and Signal Processing, 42(11), 6564-6590. https://doi.org/10.1007/s00034-023-02326-1
Ghazdali, Abdelghani, Aissam Hadri, Amine Laghrib, and Mourad Nachaoui. “A Blind Poisson–Gaussian Noise Separation Using Learning Copula Densities”. Circuits, Systems, and Signal Processing 42, no. 11 (2023): 6564-90. https://doi.org/10.1007/s00034-023-02326-1.
1.
Ghazdali A, Hadri A, Laghrib A, Nachaoui M. A Blind Poisson–Gaussian Noise Separation Using Learning Copula Densities. Circuits, Systems, and Signal Processing. 2023;42(11):6564-90.
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Refrences
Title Journal Journal Categories Citations Publication Date
A nonlocal low rank model for poisson noise removal Inverse Problems & Imaging 5 2021
Reinventing Molecular Imaging with Total-Body PET, Part II PET Clinics
  • Medicine: Medicine (General): Medical physics. Medical radiology. Nuclear medicine
14 2020
A Fast Algorithm for Deconvolution and Poisson Noise Removal Journal of Scientific Computing
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
19 2018
10.1109/TIP.2017.2713099 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
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2017
10.1137/16M1101684 SIAM Journal on Imaging Sciences
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Technology: Photography
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics
2017
Refrences Analysis
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics 10 is the most frequently represented among the references in this article. It primarily includes studies from Signal Processing and 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
Poisson noise and Gaussian noise separation through copula theory Multimedia Tools and Applications
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2024
Citations Analysis
The category Science: Science (General): Cybernetics: Information theory 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Poisson noise and Gaussian noise separation through copula theory and was published in 2024. The most recent citation comes from a 2024 study titled Poisson noise and Gaussian noise separation through copula theory. This article reached its peak citation in 2024, with 1 citations. It has been cited in 1 different journals. Among related journals, the Multimedia Tools and Applications cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year