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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |