增强和优化水下图像和视频绘制地图
Chengda Li1, Xiang Dong1, Yu Wang2
1School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China.
Sensors (Basel, Switzerland)
|July 8, 2023
概括
本研究介绍了一种有效的暗通道预先 (DCP) 方法来增强水下图像和视频. 该技术提高了可见性,对比度和颜色,优于现有的修复方法.
科学领域:
- 计算机视觉 计算机视觉
- 图像处理 图像处理
- 水下成像技术的研究.
背景情况:
- 水下图像的可见性较差,对比度较低,由于光吸收和散射而导致颜色偏差.
- 提高水下图像质量和恢复真实颜色在计算机视觉中是一个重大挑战.
研究的目的:
- 为水下图像和视频提出一种有效和高速的增强和恢复方法.
- 为了解决降解问题,如可见性差,对比度降低和水下图像中的颜色投影.
主要方法:
- 使用改进的背景光 (BL) 估计.
- 采用暗通道前置 (DCP) 进行传输地图 (TM) 估计,优化了场景深度和自适应和地图 (ASM).
- 应用了改进的色彩校正算法,以提高可见性和亮度.
主要成果:
- 拟议的方法在恢复低质量的水下图像方面表现出优异的性能,与先进的技术相比,通过图像质量评估指数进行验证.
- 在水下车辆操纵系统上成功演示了实时水下视频增强.
结论:
- 开发的方法有效地增强和恢复水下图像和视频,克服常见的质量退化.
- 该方法为需要高质量的视觉数据的现实世界水下应用提供了实用解决方案.
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