Illumination-adaptive Unpaired Low-light Enhancement

Supervised networks address the task of low-light enhancement using paired images. However, collecting a wide variety of low-light/clean paired images is tedious as the scene needs to remain static during imaging. In this paper, we propose an unsupervised low-light enhancement network using context-...

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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology 2023-08, Vol.33 (8), p.1-1
Hauptverfasser:	Kandula, Praveen, Suin, Maitreya, Rajagopalan, A. N.
Format:	Artikel
Sprache:	eng
Schlagworte:	Ablation Cameras context-guided illumination-adaptive norm Datasets Histograms Illumination Image enhancement Image quality Image restoration Light Lighting low-light enhancement pixel-amplification Pixels Roads Task analysis Unsupervised learning
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