Improved colorization for night vision system based on image splitting

E. Ali; S. P. Kozaitis

doi:10.1117/12.2083549

4 March 2015 Improved colorization for night vision system based on image splitting

E. Ali, S. P. Kozaitis

Proceedings Volume 9407, Video Surveillance and Transportation Imaging Applications 2015; 94070X (2015) https://doi.org/10.1117/12.2083549
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

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.

Citation Download Citation

E. Ali and S. P. Kozaitis "Improved colorization for night vision system based on image splitting", Proc. SPIE 9407, Video Surveillance and Transportation Imaging Applications 2015, 94070X (4 March 2015); https://doi.org/10.1117/12.2083549

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