Deblurring Ghost Imaging Reconstruction Based on Underwater Dataset Generated by Few-Shot Learning.

Yang, Xu; Yu, Zhongyang; Jiang, Pengfei; Xu, Lu; Hu, Jiemin; Wu, Long; Zou, Bo; Zhang, Yong; Zhang, Jianlong

Yang, Xu; Yu, Zhongyang; Jiang, Pengfei; Xu, Lu; Hu, Jiemin; Wu, Long; Zou, Bo; Zhang, Yong; Zhang, Jianlong.

Afiliación

Yang X; School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Yu Z; School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Jiang P; School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Xu L; School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Hu J; School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Wu L; School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Zou B; Institute of Land Aviation, Beijing 101121, China.
Zhang Y; Institute of Optical Target Simulation and Test Technology, Harbin Institute of Technology, Harbin 150001, China.
Zhang J; Institute of Optical Target Simulation and Test Technology, Harbin Institute of Technology, Harbin 150001, China.

Sensors (Basel) ; 22(16)2022 Aug 17.

Article en En | MEDLINE | ID: mdl-36015921

Palabras clave

few-shot learning; low sampling rate; paired underwater datasets; underwater deblurring ghost imaging

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google