has been cited by the following article(s):
[1]
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An FCM-Based Image De-Noising with Spatial Statistics Pilot Study
Applied Sciences,
2023
DOI:10.3390/app131810313
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[2]
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Channel and Space Attention Neural Network for Image Denoising
IEEE Signal Processing Letters,
2021
DOI:10.1109/LSP.2021.3057544
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[3]
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Image De-noising Based on Nature Inspired Optimization Algorithm
2018 Second International Conference on Computing Methodologies and Communication (ICCMC),
2018
DOI:10.1109/ICCMC.2018.8487983
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[4]
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Image noise reduction based on adaptive thresholding and clustering
Multimedia Tools and Applications,
2018
DOI:10.1007/s11042-018-6955-8
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[5]
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Image noise reduction based on applying adaptive thresholding onto PDEs methods
The Journal of Engineering,
2017
DOI:10.1049/joe.2017.0112
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[6]
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A survey on noise reduction techniques for lung cancer detection
2017 International Conference on Innovative Mechanisms for Industry Applications (ICIMIA),
2017
DOI:10.1109/ICIMIA.2017.7975539
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[7]
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An improved approach for denoising MRI using non local means filter
2016 2nd International Conference on Next Generation Computing Technologies (NGCT),
2016
DOI:10.1109/NGCT.2016.7877492
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[8]
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Bir Yumuşak Güç Kaynağı Olarak Türkiye’deki Çin Medyası
Anadolu Üniversitesi Sosyal Bilimler Dergisi,
2016
DOI:10.18037/ausbd.415561
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