能见度
水下
偏振器
计算机视觉
计算机科学
人工智能
极化(电化学)
降级(电信)
光学
遥感
电信
地质学
物理
海洋学
物理化学
双折射
化学
作者
Yoav Y. Schechner,N. Karpel
出处
期刊:IEEE Journal of Oceanic Engineering
[Institute of Electrical and Electronics Engineers]
日期:2005-07-01
卷期号:30 (3): 570-587
被引量:483
标识
DOI:10.1109/joe.2005.850871
摘要
Underwater imaging is important for scientific research and technology as well as for popular activities, yet it is plagued by poor visibility conditions. In this paper, we present a computer vision approach that removes degradation effects in underwater vision. We analyze the physical effects of visibility degradation. It is shown that the main degradation effects can be associated with partial polarization of light. Then, an algorithm is presented, which inverts the image formation process for recovering good visibility in images of scenes. The algorithm is based on a couple of images taken through a polarizer at different orientations. As a by-product, a distance map of the scene is also derived. In addition, this paper analyzes the noise sensitivity of the recovery. We successfully demonstrated our approach in experiments conducted in the sea. Great improvements of scene contrast and color correction were obtained, nearly doubling the underwater visibility range.
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