An Efficient Dehazing Algorithm Based on the Fusion of Transformer and Convolutional Neural Network.

Xu, Jun; Chen, Zi-Xuan; Luo, Hao; Lu, Zhe-Ming

Xu, Jun; Chen, Zi-Xuan; Luo, Hao; Lu, Zhe-Ming.

Afiliação

Xu J; Wenzhou Mass Transit Railway Investment Group Co., Ltd., Wenzhou 325000, China.
Chen ZX; School of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027, China.
Luo H; School of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027, China.
Lu ZM; School of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027, China.

Sensors (Basel) ; 23(1)2022 Dec 21.

Article em En | MEDLINE | ID: mdl-36616639

Assuntos

Algoritmos; Redes Neurais de Computação; Fontes de Energia Elétrica; Tempo (Meteorologia)

Palavras-chave

Transformer; TransformerConvolution fusion dehazing network (TCFDN); convolutional neural network; deep learning; image dehazing

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Algoritmos / Redes Neurais de Computação Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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