薄雾
即时
偏振器
计算机科学
计算机视觉
人工智能
漫射天空辐射
散射
大气模式
遥感
光学
极化(电化学)
环境科学
物理
地质学
气象学
化学
物理化学
双折射
量子力学
作者
Yoav Y. Schechner,Srinivasa G. Narasimhan,Shree K. Nayar
出处
期刊:Computer Vision and Pattern Recognition
日期:2005-08-24
被引量:787
标识
DOI:10.1109/cvpr.2001.990493
摘要
We present an approach to easily remove the effects of haze from images. It is based on the fact that usually airlight scattered by atmospheric particles is partially polarized. Polarization filtering alone cannot remove the haze effects, except in restricted situations. Our method, however, works under a wide range of atmospheric and viewing conditions. We analyze the image formation process, taking into account polarization effects of atmospheric scattering. We then invert the process to enable the removal of haze from images. The method can be used with as few as two images taken through a polarizer at different orientations. This method works instantly, without relying on changes of weather conditions. We present experimental results of complete dehazing in far from ideal conditions for polarization filtering. We obtain a great improvement of scene contrast and correction of color. As a by product, the method also yields a range (depth) map of the scene, and information about properties of the atmospheric particles.
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