A Single-Image Noise Estimation Algorithm Based on Pixel-Level Low-Rank Low-Texture Patch and Principal Component Analysis

Noise level is an important parameter for image denoising in many image-processing applications. We propose a noise estimation algorithm based on pixel-level low-rank, low-texture subblocks and principal component analysis for white Gaussian noise. First, an adaptive clustering algorithm, based on a...

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Detalles Bibliográficos
Autores principales: Li, Yong, Liu, Chenguang, You, Xiaoyu, Liu, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698435/
https://www.ncbi.nlm.nih.gov/pubmed/36433492
http://dx.doi.org/10.3390/s22228899

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698435/
https://www.ncbi.nlm.nih.gov/pubmed/36433492
http://dx.doi.org/10.3390/s22228899

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