Comprehensive Approach for Image Noise Analysis: Detection, Classification, Estimation, and Denoising
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9562-2_50
Reference28 articles.
1. Babaei-Mahani A, Sheikhzadeh H, Cheriet M (2014) A survey on image denoising using fuzzy logic. J Electron Imaging 23(1):1–26
2. Asano S, Kamata S, Miyatake T (2019) Survey of noise reduction methods for digital images. J Signal Process 23(1):1–10. https://doi.org/10.2299/jsp.23.1
3. Ismail M, Usman M, Daud A (2018) A comparative study of noise estimation methods for digital images. EURASIP J Image Video Process 2018(1):16. https://doi.org/10.1186/s13640-018-0246-9
4. Kirmizitas K, Besli N (2022) Image and texture independent deep learning noise estimation using multiple frames Elektron. ir Elektrotechnika 28:42–47
5. Patil S, Sherekar SS (2019) Noise detection and classification using machine learning: a review. J Ambient Intell Humaniz Comput 10(1):169–183. https://doi.org/10.1007/s12652-018-0896-2
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