DLFE-Net: Preserving Details and Removing Noise Using HVI Color Space for Low-Light Image Enhancement. [PDF]
He Z, Yuan X, Hao G, Wang W.
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MSF-ACA: Low-Light Image Enhancement Network Based on Multi-Scale Feature Fusion and Adaptive Contrast Adjustment. [PDF]
Cheng Z, Wu Y, Tian F, Feng Z, Li Y.
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Application of CycleGAN-based low-light image enhancement algorithm in foreign object detection on belt conveyors in underground mines. [PDF]
Zhao A, Zheng Q, Li L.
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SwinLightGAN a study of low-light image enhancement algorithms using depth residuals and transformer techniques. [PDF]
He M +6 more
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Squeeze-EnGAN: Memory Efficient and Unsupervised Low-Light Image Enhancement for Intelligent Vehicles. [PDF]
In H, Kweon J, Moon C.
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An enhanced secretary bird optimization algorithm based on precise elimination mechanism and boundary control for numerical optimization and low-light image enhancement. [PDF]
Xiong Y.
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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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