使用偏振度梯度进行大气光估计,用于图像脱.
Shuai Liu1,2, Hang Li1, Jinyu Zhao1
1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Dong Nanhu Road 3888, Changchun 130033, China.
Sensors (Basel, Switzerland)
|May 25, 2024
概括
这项研究引入了一种使用天空偏振来估计大气光的新方法,改进了图像脱光. 这种新的方法增强了现有的算法,为更清晰的图像提供了卓越的环境光估计.
科学领域:
- 计算机视觉 计算机视觉
- 图像处理 图像处理
- 光学物理学 光学物理学
背景情况:
- 图像消光技术通常依赖于大气光估计.
- 目前的方法缺乏物理模型,降低了准确性和有效性.
研究的目的:
- 开发一种新的方法,用天空偏振来估计大气中的光.
- 通过整合拟议的大气光估计方法来增强现有的图像除尘算法.
主要方法:
- 使用天空的偏振状态和偏振度梯度来估计大气光.
- 将新型大气光估计方法应用于现有的除气算法.
- 开发和测试一个实时排气系统.
主要成果:
- 拟议的方法在以前的环境光估计方法上具有明显的优势.
- 观察到在除草效率上有显著的改善.
- 增强的标准包括对比度,峰值信号噪声比 (PSNR) 和结构相似度指数 (SSIM).
结论:
- 基于偏振的新型大气光估计方法有效地增强了图像脱光.
- 该方法对现有实时应用的现有方法提供了显著的改进.
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