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快速,零参考低光图像增强与相机响应模型
Xiaofeng Wang1,2, Liang Huang1, Mingxuan Li1
1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.
Sensors (Basel, Switzerland)
|August 10, 2024
概括
本研究介绍了一种高效的低光图像增强方法,使用一种新的零参考摄像头响应网络. 该技术可以快速提高图像质量,而不需要配对数据,优于现有解决方案.
科学领域:
- 计算机视觉 计算机视觉
- 图像处理 图像处理
- 人工智能的人工智能
背景情况:
- 由于亮度降低,低光图像在智能监控等应用中带来了重大挑战.
- 现有的低光图像增强方法经常受到复杂的网络结构和缓慢的处理速度的影响.
研究的目的:
- 提出一种高效有效的低光图像增强方法.
- 开发一个网络,增强任意的低光图像,而不需要参考数据.
主要方法:
- 提出了一个零参考摄像头响应网络,利用摄像头响应模型.
- 一个精简的双层参数生成网络从辐射图中提取暴露比 (K).
- 使用K应用亮度转换,结合对比度保护和边缘保护损失.
主要成果:
- 拟议的方法实现了对任意低光图像的高效增强.
- 增强过程被简化,实现了类似方法的两倍以上的速度.
- 实验表明,各种低光图像增强 (LLIE) 和面部检测数据集具有显著的主观和客观优势.
结论:
- 零参考摄像头响应网络为低光图像增强提供了快速有效的解决方案.
- 该方法成功地提高了图像质量,同时保留了对比度和边缘等关键信息.
- 这种方法为需要高性能低光图像处理的应用提供了有价值的工具.
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