Presentation + Paper
8 September 2017 Moving towards more intuitive display strategies for polarimetric image data
Author Affiliations +
Abstract
The display of polarimetric imaging data has been a subject of considerable debate. Display strategies range from direct display of the Stokes vector images (or their derivatives) to false color representations. In many cases, direct interpretation of polarimetric image data using traditional display strategies is not intuitive and can at times result in confusion as to what benefit polarimetric information is actually providing. Here we investigate approaches that attempt to augment the s0 image with polarimetric information, rather than directly display it, as a means of enhancing the baseband s0 image. The benefit is that the polarization-enhanced visible or infrared image maintains a familiar look without the need for complex interpretation of the meaning of the polarimetric data, thus keeping the incorporation of polarimetric information transparent to the end user. The method can be applied to monochromatic or multi-band data, which allows color to be used for representing spectral data in multi- or hyper-spectropolarimetric applications. We take a more subjective approach to image enhancement than current techniques employ by simply seeking to improve contrast and shape information for polarized objects within a scene. We find that such approaches provide clear enhancement to the imagery when polarized objects are contained within the scene without the need for complex interpretation of polarization phenomenology.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bradley M. Ratliff and J. Scott Tyo "Moving towards more intuitive display strategies for polarimetric image data", Proc. SPIE 10407, Polarization Science and Remote Sensing VIII, 104070E (8 September 2017); https://doi.org/10.1117/12.2272262
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Polarimetry

Image enhancement

Infrared imaging

Infrared radiation

Polarization

Visible radiation

Computer vision technology

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