Low-Light Image Enhancement Based on Constraint Low-Rank Approximation Retinex Model

Images captured in a low-light environment are strongly influenced by noise and low contrast, which is detrimental to tasks such as image recognition and object detection. Retinex-based approaches have been continuously explored for low-light enhancement. Nevertheless, Retinex decomposition is a hig...

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Detalles Bibliográficos
Autores principales: Li, Xuesong, Shang, Jianrun, Song, Wenhao, Chen, Jinyong, Zhang, Guisheng, Pan, Jinfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412568/
https://www.ncbi.nlm.nih.gov/pubmed/36015886
http://dx.doi.org/10.3390/s22166126

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412568/
https://www.ncbi.nlm.nih.gov/pubmed/36015886
http://dx.doi.org/10.3390/s22166126

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