水下光学观测,如何提高能见度

Mohcine Boudhane, O. Balcers
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引用次数: 0

摘要

计算机视觉是一个跨学科领域,研究如何使计算机能够从数字图像或视频中获得高层次的理解。鱼类检测与监测是计算机视觉领域的一个重要课题。高性能计算机的发展、低成本高质量视频摄像机的发展以及对自动视频分析的需求日益增长,引起了人们对水下检测发展的更多兴趣。然而,在海洋中,光和声音的传播是不均匀的。因此,由于水的物理性质,能见度变得越来越困难。这一事实对检测精度产生了负面影响。本文提出了一种水下图像增强方法。暗通道之前,将负责调整颜色通道,以便在图像中获得更多的可见性。该算法在多幅图像上进行了测试。实验结果表明,该方法能较好地改善水下图像的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Underwater Optical Observation, How to Improve Visibility
Computer vision is an interdisciplinary field that deals with how computers can be made for gaining high-level understanding from digital images or videos. Fish detection and monitoring is an important topic in computer vision. The growth of high-powered computers, the evolution of high-quality video cameras with low cost and the growing need for automated video analysis have caused more interest in the development of underwater inspection. However, in the sea, the spread of light and sound are not uniform. Therefore, visibility becomes increasingly difficult due to the physical properties of the water. This fact affects negatively of detection accuracy. In this paper, we present method for underwater image enhancement. Dark Channel prior, will be responsible to adjust colour channels in order to get more visibility in images. The algorithm is tested to many images. Experimental results demonstrates a good quality improvement in underwater images.
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