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Proceedings Paper

Improved colorization for night vision system based on image splitting
Author(s): E. Ali; S. P. Kozaitis
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Paper Abstract

The success of a color night navigation system often depends on the accuracy of the colors in the resulting image. Often, small regions can incorrectly adopt the color of large regions simply due to size of the regions. We presented a method to improve the color accuracy of a night navigation system by initially splitting a fused image into two distinct sections before colorization. We split a fused image into two sections, generally road and sky regions, before colorization and processed them separately to obtain improved color accuracy of each region. Using this approach, small regions were colored correctly when compared to not separating regions.

Paper Details

Date Published: 4 March 2015
PDF: 6 pages
Proc. SPIE 9407, Video Surveillance and Transportation Imaging Applications 2015, 94070X (4 March 2015); doi: 10.1117/12.2083549
Show Author Affiliations
E. Ali, Florida Institute of Technology (United States)
S. P. Kozaitis, Florida Institute of Technology (United States)


Published in SPIE Proceedings Vol. 9407:
Video Surveillance and Transportation Imaging Applications 2015
Robert P. Loce; Eli Saber, Editor(s)

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