SPIE conference on Video Surveillance and Transportation Imaging Applications 2015
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.
Ali, Ehsan A. and Kozaitis, Samuel Peter, "Improved colorization for night vision system based on image splitting" (2015). Electrical Engineering and Computer Science Faculty Publications. 149.