A Low-Illumination Enhancement Method Based on Structural Layer and Detail Layer.

Ge, Wei; Zhang, Le; Zhan, Weida; Wang, Jiale; Zhu, Depeng; Hong, Yang

Ge, Wei; Zhang, Le; Zhan, Weida; Wang, Jiale; Zhu, Depeng; Hong, Yang.

Afiliación

Ge W; National Demonstration Center for Experimental Electrical, School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Zhang L; National Demonstration Center for Experimental Electrical, School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Zhan W; National Demonstration Center for Experimental Electrical, School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Wang J; National Demonstration Center for Experimental Electrical, School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Zhu D; National Demonstration Center for Experimental Electrical, School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Hong Y; National Demonstration Center for Experimental Electrical, School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China.

Entropy (Basel) ; 25(8)2023 Aug 12.

Article en En | MEDLINE | ID: mdl-37628231

Palabras clave

Retinex-Net; U-Net; image decomposition; low-illumination image enhancement

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Entropy (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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