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Optical Engineering • Open Access

Qualitative and quantitative comparisons of multispectral night vision colorization techniques
Author(s): Yufeng Zheng; Wenjie Dong; Erik P. Blasch

Paper 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.

Paper Details

Date Published: 5 September 2012
PDF: 16 pages
Opt. Eng. 51(8) 087004 doi: 10.1117/1.OE.51.8.087004
Published in: Optical Engineering Volume 51, Issue 8
Show Author Affiliations
Yufeng Zheng, Alcorn State Univ. (United States)
Wenjie Dong, The Univ. of Texas-Pan American (United States)
Erik P. Blasch, Air Force Research Lab. (Canada)


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