Carnegie Mellon University
Polarization-based vision through haze

Yoav Y Schechner, Srinivasa G. Narasimhan, and Shree K Nayar
Applied Optics, Vol. 42, No. 3, January, 2003.

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We present an approach for easily removing the effects of haze from passively acquired images. Our approach is based on the fact that usually the natural illuminating light scattered by atmospheric particles airlight is partially polarized. Optical filtering alone cannot remove the haze effects, except in restricted situations. Our method, however, stems from physics-based analysis that works under a wide range of atmospheric and viewing conditions, even if the polarization is low. The approach does not rely on specific scattering models such as Rayleigh scattering and does not rely on the knowledge of illumination directions. It can be used with as few as two images taken through a polarizer at different orientations. As a byproduct, the method yields a range map of the scene, which enables scene rendering as if imaged from different viewpoints. It also yields information about the atmospheric particles. We present experimental results of complete dehazing of outdoor scenes, in far-from-ideal conditions for polarization filtering. We obtain a great improvement of scene contrast and correction of color.

Associated Center(s) / Consortia: Vision and Autonomous Systems Center
Associated Lab(s) / Group(s): Illumination and Imaging Lab
Number of pages: 15

Text Reference
Yoav Y Schechner, Srinivasa G. Narasimhan, and Shree K Nayar, "Polarization-based vision through haze," Applied Optics, Vol. 42, No. 3, January, 2003.

BibTeX Reference
   author = "Yoav Y Schechner and Srinivasa G Narasimhan and Shree K Nayar",
   title = "Polarization-based vision through haze",
   journal = "Applied Optics",
   month = "January",
   year = "2003",
   volume = "42",
   number = "3",