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dc.contributor.authorAli, Ehsan A.
dc.contributor.authorKozaitis, Samuel P.
dc.date.accessioned2016-07-14T19:18:07Z
dc.date.available2016-07-14T19:18:07Z
dc.date.issued2015-02
dc.identifier.citationAli, E., & Kozaitis, S. P. (2015). Improved colorization for night vision system based on image splitting. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, 9407 doi:10.1117/12.2083549en_US
dc.identifier.urihttp://hdl.handle.net/11141/936
dc.description.abstractThe 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.en_US
dc.language.isoen_USen_US
dc.rightsThis published article is available in accordance with the publisher's policy. It may be subject to U.S. Copyright Law.en_US
dc.rights.urihttp://spie.org/publications/journals/guidelines-for-authors#Terms_of_Useen_US
dc.titleImproved colorization for night vision system based on image splittingen_US
dc.typeArticleen_US
dc.identifier.doi10.1117/12.2083549


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