G-RRDB: An Effective THz Image-Denoising Model for Moldy Wheat.

Jiang, Yuying; Chen, Xinyu; Ge, Hongyi; Jiang, Mengdie; Wen, Xixi

Jiang, Yuying; Chen, Xinyu; Ge, Hongyi; Jiang, Mengdie; Wen, Xixi.

Afiliación

Jiang Y; Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China.
Chen X; Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, China.
Ge H; School of Artificial Intelligence and Big Data, Henan University of Technology, Zhengzhou 450001, China.
Jiang M; Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China.
Wen X; Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, China.

Foods ; 12(15)2023 Jul 25.

Article en En | MEDLINE | ID: mdl-37569087

Palabras clave

dense residual structure; image denoising; moldy wheat; terahertz image

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

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