Paper
26 May 2015 Daylight coloring for monochrome infrared imagery
James Gabura
Author Affiliations +
Abstract
The effectiveness of infrared imagery in poor visibility situations is well established and the range of applications is expanding as we enter a new era of inexpensive thermal imagers for mobile phones. However there is a problem in that the counterintuitive reflectance characteristics of various common scene elements can cause slowed reaction times and impaired situational awareness−consequences that can be especially detrimental in emergency situations. While multiband infrared sensors can be used, they are inherently more costly. Here we propose a technique for adding a daylight color appearance to single band infrared images, using the normally overlooked property of local image texture. The simple method described here is illustrated with colorized images from the visible red and long wave infrared bands. Our colorizing process not only imparts a natural daylight appearance to infrared images but also enhances the contrast and visibility of otherwise obscure detail. We anticipate that this colorizing method will lead to a better user experience, faster reaction times and improved situational awareness for a growing community of infrared camera users. A natural extension of our process could expand upon its texture discerning feature by adding specialized filters for discriminating specific targets.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James Gabura "Daylight coloring for monochrome infrared imagery", Proc. SPIE 9451, Infrared Technology and Applications XLI, 94510I (26 May 2015); https://doi.org/10.1117/12.2177097
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Infrared imaging

Infrared radiation

Thermography

Infrared cameras

Cameras

Long wavelength infrared

Distortion

RELATED CONTENT

Benefits of IR/visible fusion
Proceedings of SPIE (April 09 2007)
IR depth from stereo for autonomous navigation
Proceedings of SPIE (May 12 2005)
PCA-based image fusion
Proceedings of SPIE (May 08 2006)

Back to Top