Adaptive neuro fuzzy estimation of the most influential speckle noise distributions in color images for denoising performance prediction-Reference-Cited by-同舟云学术

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Adaptive neuro fuzzy estimation of the most influential speckle noise distributions in color images for denoising performance prediction

Published:2023-02-22 Issue:14 Volume:82 Page:21729-21742
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Denić Nebojša,Nešić Zoran,Ilić Ivana,Zlatković Dragan,Stojiljković Bojan,Stojanović Jelena,Petkovic Dalibor

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-14633-5.pdf

Reference30 articles.

1. Alessandro F, Mejdi T, Vladimir K, Karen E (2008) Practical poissonian-gaussian noise modeling and fitting for single image raw-data. IEEE Trans Image Process 17(10):1737–1754. https://doi.org/10.1109/TIP.2008.2001399

2. Bovik (2000) Handbook of image and video processing. Academic, New York

3. Budevski E, Obretenov W, Bostanov W, Staikov G, Doneit J, Jüttner K, Lorenz WJ (1989) Noise analysis in metal deposition-expectations and limits. Electrochim Acta 34(8):1023–1029

4. Chowdhury D, Gupta S, Roy D, Sarkar D, Chattopadhyay CC, Das SK (2017) A quantum study on digital image noises and their in-depth clusterization. 4th International Conference on Opto-Electronics and Applied Optics (Optronix), Kolkata, India 2–3 Nov. 2017. IEEE Xplore: 30 April 2018. https://doi.org/10.1109/OPTRONIX.2017.8349973

5. Coupe P, Hellier P, Kervrann C, Barillot C (2009) Nonlocal means-based speckle filtering for ultrasound images. IEEE Trans Image Process 18:2221–2229

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