Addressing image and Poisson noise deconvolution problem using deep learning approaches
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2022/02/17
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Journal
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Indian UGC (journal)
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Refrences33
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Citations2
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Mohammad Haider Syed College of Computing and Informatics Saudi Electronic University Riyadh Kingdom of Saudi Arabia
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Kamal Upreti Department of Computer Science & Engineering Dr.Akhilesh Das Gupta Institute of Technology & Management Delhi India
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Mohammad Shahnawaz Nasir Department of Computer Science, College of Computer Science and Information Technology Jazan University Jazan Kingdom of Saudi Arabia
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Mohammad Shabbir Alam Department of Computer Science, College of Computer Science and Information Technology Jazan University Jazan Kingdom of Saudi Arabia
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Arvind Kumar Sharma School of Engineering & Technology Career Point University Kota India
Abstract
Cite
Syed, Mohammad Haider, et al. “Addressing Image and Poisson Noise Deconvolution Problem Using Deep Learning Approaches”. Computational Intelligence, vol. 39, no. 4, 2022, pp. 577-91, https://doi.org/10.1111/coin.12510.
Syed, M. H., Upreti, K., Nasir, M. S., Alam, M. S., & Kumar Sharma, A. (2022). Addressing image and Poisson noise deconvolution problem using deep learning approaches. Computational Intelligence, 39(4), 577-591. https://doi.org/10.1111/coin.12510
Syed, Mohammad Haider, Kamal Upreti, Mohammad Shahnawaz Nasir, Mohammad Shabbir Alam, and Arvind Kumar Sharma. “Addressing Image and Poisson Noise Deconvolution Problem Using Deep Learning Approaches”. Computational Intelligence 39, no. 4 (2022): 577-91. https://doi.org/10.1111/coin.12510.
Syed MH, Upreti K, Nasir MS, Alam MS, Kumar Sharma A. Addressing image and Poisson noise deconvolution problem using deep learning approaches. Computational Intelligence. 2022;39(4):577-91.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Engineering (General)
Civil engineering (General)
Technology
Mechanical engineering and machinery
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Dual band triangular microstrip antenna for WLAN/WiMAX applications | 2016 | |||
| Handbook of Image and Video Processing | 2000 | |||
| Digital Image Processing | 1992 | |||
| 10.1109/ICCVW.2011.6130327 | ||||
| 10.1109/CVPR.2013.84 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Poisson noise and Gaussian noise separation through copula theory | Multimedia Tools and Applications |
| 2024 | |
| Based on Variational Regularization of the Multiplicative Noise Image Denoising Review | Advances in Applied Mathematics | 2022 |
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 Based on Variational Regularization of the Multiplicative Noise Image Denoising Review and was published in 2022. 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 2 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.