Blind Additive Gaussian White Noise Level Estimation from a Single Image by Employing Chi-Square Distribution †

The additive Gaussian white noise (AGWN) level in real-life images is usually unknown, for which the empirical setting will make the denoising methods over-smooth fine structures or remove noise incompletely. The previous noise level estimation methods are easily lost in accurately estimating them f...

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Detalles Bibliográficos
Autores principales: Wang, Zhicheng, An, Qing, Zhu, Zifan, Fang, Hao, Huang, Zhenghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689842/
https://www.ncbi.nlm.nih.gov/pubmed/36359610
http://dx.doi.org/10.3390/e24111518

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689842/
https://www.ncbi.nlm.nih.gov/pubmed/36359610
http://dx.doi.org/10.3390/e24111518

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