Low-light image enhancement using generative adversarial networks. [PDF]
Wang L, Zhao L, Zhong T, Wu C.
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Dimma: Semi-Supervised Low-Light Image Enhancement with Adaptive Dimming. [PDF]
Kozłowski W +3 more
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ILR-Net: Low-light image enhancement network based on the combination of iterative learning mechanism and Retinex theory. [PDF]
Yin M, Yang J.
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Fast, Zero-Reference Low-Light Image Enhancement with Camera Response Model. [PDF]
Wang X +5 more
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Bilateral enhancement network with signal-to-noise ratio fusion for lightweight generalizable low-light image enhancement. [PDF]
Wang J, Huang S, Huo Z, Zhao S, Qiao Y.
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FPGA-based low-light image enhancement using Retinex algorithm and coarse-grained reconfigurable architecture. [PDF]
Munaf S, Bharathi A, Jayanthi AN.
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Content-illumination coupling guided low-light image enhancement network. [PDF]
Zhao R +5 more
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DCENet-based low-light image enhancement improved by spiking encoding and convLSTM. [PDF]
Wang X +9 more
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Adaptive Dual Aggregation Network with Normalizing Flows for Low-Light Image Enhancement. [PDF]
Wang H, Cao J, Huang J.
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MTIE-Net: Multi-technology fusion of low-light image enhancement network. [PDF]
Tao J, Wu H, Ni Z, Jin Z, Zhong C.
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