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使用生成对抗网络进行低光图像增强

Litian Wang1, Liquan Zhao2, Tie Zhong1

  • 1Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology(Ministry of Education), Northeast Electric Power University, Jilin, 132012, China.

Scientific reports
|August 9, 2024
PubMed
概括

这项研究引入了一个生成对抗网络,以增强低光照明图像. 该方法提高了亮度,颜色和细节,在合成和现实世界低光图像上表现优于现有技术.

关键词:
生成性的对抗性网络.照明注意力模块照明注意力模块多级特征提取模块多级特征提取模块夜间道路场景图像增强 图像增强

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Light Acquisition02:16

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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