End-to-End Retinex-Based Illumination Attention Low-Light Enhancement Network for Autonomous Driving at Night
Low-light image enhancement is a preprocessing work for many recognition and tracking tasks for autonomous driving at night. It needs to handle various factors simultaneously including uneven lighting, low contrast, and artifacts. We propose a novel end-to-end Retinex-based illumination attention lo...
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Veröffentlicht in: | Computational intelligence and neuroscience 2022-08, Vol.2022, p.4942420-14 |
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