FRR-NET: a fast reparameterized residual network for low-light image enhancement

Yuhan Chen; Ge Zhu; Xianquan Wang; Huan Yang

doi:10.1007/s11760-024-03127-y

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FRR-NET: a fast reparameterized residual network for low-light image enhancement

Yuhan Chen Ge Zhu Xianquan Wang Huan Yang

Year: 2024 Journal: Signal Image and Video Processing Vol: 18 (5)Pages: 4925-4934 Publisher: Springer Science+Business Media

DOI: 10.1007/s11760-024-03127-y

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Keywords:

Residual Net (polyhedron) Image (mathematics) Artificial intelligence Computer science Pattern recognition (psychology) Mathematics Computer vision Algorithm

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Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

FRR-NET: a fast reparameterized residual network for low-light image enhancement

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