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A pixel-based color transfer system to recolor nighttime imagery
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Paper Abstract

Most state-of-the-art techniques focus primarily on daytime surveillance, and limited research has been performed on nighttime monitoring. Surveillance is often more important in darker environments since many activities of interest often occur at night. But, nighttime imagery presents its challenges: they are mostly monochrome and very noisy. Night vision systems are also affected in the presence of a bright light or glare off a shiny surface. Color imagery has several benefits over grayscale imagery. The human eye can discriminate broad spectrum of colors but is limited to about 100 shades of gray. Also, color drives visual attention and aids in better understanding of the scene. Moreover, context information of the scene affects the way humans distinguish and recognize things. The essential step of a coloring process is the choice of an appropriate color image model and color mapping scheme. To enhance relevant information of nighttime images, a color mapping or color transfer technique is employed. The paper proposes a robust pixel-based color transfer architecture that maps the color characteristics of the daytime images to the nighttime images. The architecture is also capable of compensating for image registration issues encountered during acquisition. A visual analysis of the results demonstrate that the proposed method performs better in comparison to the state-of-the-art methods and is robust to different imaging sensors.

Paper Details

Date Published: 13 May 2019
PDF: 10 pages
Proc. SPIE 10993, Mobile Multimedia/Image Processing, Security, and Applications 2019, 109930N (13 May 2019); doi: 10.1117/12.2519067
Show Author Affiliations
Rahul Rajendran, Tufts Univ. (United States)
Thaweesak Trongtirakul, The City Univ. of New York (United States)
Karen Panetta, Tufts Univ. (United States)
Sos Agaian, The City Univ. of New York (United States)


Published in SPIE Proceedings Vol. 10993:
Mobile Multimedia/Image Processing, Security, and Applications 2019
Sos S. Agaian; Vijayan K. Asari; Stephen P. DelMarco, Editor(s)

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