Polarization: Beneficial for visibility enhancement?

Tali Treibitz, Yoav Y. Schechner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

When imaging in scattering media there is a need to enhance visibility. Some approaches have used polarized images in this context with apparent success. These methods take advantage of the fact that the path radiance (airlight) is partially polarized. However, mounting a polarizer attenuates the signal associated with the object. This attenuation degrades the image quality. Thus, a question arises: is the use of a polarizer worth the mentioned loss? The ability to see objects is limited by noise. Therefore, in this work we analyze the change in signal to noise ratio (SNR) following the use of a polarizer or a dehazing process. Typically, methods use either one polarized image (with minimum path radiance) or two polarized images corresponding to extrema of the path radiance. We show that if the only goal is signal discrimination over noise (and not color or radiance recovery) in haze, the use of polarization in both approaches is unnecessary: polarization rarely improves the SNR over an average of unpolarized images acquired under the same acquisition time. Nevertheless, under a single frame constraint, the use of a single polarized image is beneficial.

Original languageEnglish
Title of host publication2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009
PublisherIEEE Computer Society
Pages525-532
Number of pages8
ISBN (Print)9781424439935
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009 - Miami, FL, United States
Duration: 20 Jun 200925 Jun 2009

Publication series

Name2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009

Conference

Conference2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009
Country/TerritoryUnited States
CityMiami, FL
Period20/06/0925/06/09

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Biomedical Engineering

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