Polarization-color mapping strategies: catching up with color theory

Andrew W. Kruse, Andrey S. Alenin, Israel J. Vaughn, J. Scott Tyo

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

4 Citations (Scopus)

Abstract

Current visualization techniques for mapping polarization data to a color coordinates defined by the Hue, Saturation, Value (HSV) color representation are analyzed in the context of perceptual uniformity. Since HSV is not designed to be perceptually uniform, the extent of non-uniformity should be evaluated by using robust color difference formulae and by comparison to the state-of-The-Art uniform color space CAM02-UCS. For mapping just angle of polarization with HSV hue, the results show clear non-uniformity and implications for how this can misrepresent the data. UCS can be used to create alternative mapping techniques that are perceptually uniform. Implementing variation in lightness may increase shape discrimination within the scene. Future work will be dedicated to measuring performance of both current and proposed methods using psychophysical analysis.

Original languageEnglish
Title of host publicationProceedings of SPIE -Polarization Science and Remote Sensing VIII
EditorsJoseph A. Shaw, Frans Snik
Place of PublicationBellingham WA USA
PublisherSPIE
Number of pages15
ISBN (Electronic)9781510612723
ISBN (Print)9781510612716
DOIs
Publication statusPublished - 2017
Externally publishedYes
EventPolarization Science and Remote Sensing VIII 2017 - San Diego, United States of America
Duration: 8 Aug 20179 Aug 2017
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10407.toc (Proceedings)

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
PublisherSPIE - International Society for Optical Engineering
Volume10407
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferencePolarization Science and Remote Sensing VIII 2017
Country/TerritoryUnited States of America
CitySan Diego
Period8/08/179/08/17
Internet address

Keywords

  • Color map
  • Color space
  • Data visualization
  • Polarization

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