通过估计大气系数来恢复由光学散射降解的双筒镜像
Victor H Diaz-Ramirez1, Rigoberto Juarez-Salazar2, Martin Gonzalez-Ruiz1
1Instituto Politécnico Nacional-CITEDI, Ave. Instituto Politécnico Nacional 1310, Tijuana 22310, Mexico.
Sensors (Basel, Switzerland)
|November 14, 2023
概括
本研究介绍了一种双眼视觉方法,用于恢复因散射而降解的图像. 它准确地估计深度和大气参数,有效地消除光学散射效应,在具有挑战性的条件下提供清晰的计算机视觉.
科学领域:
- 计算机视觉 计算机视觉
- 图像处理 图像处理
- 光学工程是指光学工程.
背景情况:
- 用散射介质 (如雾,雾) 拍摄的图像的可见性和对比度都会降低.
- 现有的图像修复方法经常引入文物或未能准确估计场景属性.
研究的目的:
- 开发一种基于双眼视觉的强大方法,用于恢复被散射介质损坏的图像.
- 为了准确估计场景深度和大气参数,以便有效地恢复图像.
主要方法:
- 使用立体匹配和三角化进行场景深度计算.
- 通过基于蒙特卡洛的方法估计大气参数.
- 使用大气光学模型进行图像修复.
主要成果:
- 拟议的方法有效地抑制了光学散射效应.
- 恢复过来的图像显示出极少可见的文物.
- 对大气参数和场景深度进行了准确的估计.
- 通过合成和现实世界的实验验证实了实际的可行性.
结论:
- 双眼视觉方法在散射介质中提供有效的图像恢复.
- 该方法适用于面临挑战性大气条件的计算机视觉应用.
- 准确的深度和大气参数估计是成功恢复的关键.
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