Open Access
5 September 2012 Qualitative and quantitative comparisons of multispectral night vision colorization techniques
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Abstract
Multispectral images enable robust night vision (NV) object assessment over day-night conditions. Furthermore, colorized multispectral NV images can enhance human vision by improving observer object classification and reaction times, especially for low light conditions. NV colorization techniques can produce the colorized images that closely resemble natural scenes. Qualitative (subjective) and quantitative (objective) comparisons of NV colorization techniques proposed in the past decade are made and two categories of coloring methods, color fusion and color mapping, are discussed and compared. Color fusion directly combines multispectral NV images into a color-version image by mixing pixel intensities at different color planes, of which a channel-based color fusion method is reviewed.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2012/$25.00 © 2012 SPIE
Yufeng Zheng, Wenjie Dong, and Erik P. Blasch "Qualitative and quantitative comparisons of multispectral night vision colorization techniques," Optical Engineering 51(8), 087004 (5 September 2012). https://doi.org/10.1117/1.OE.51.8.087004
Published: 5 September 2012
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CITATIONS
Cited by 75 scholarly publications.
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KEYWORDS
Image fusion

Image segmentation

RGB color model

Long wavelength infrared

Multispectral imaging

Near infrared

Night vision

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