DocumentCode :
3738182
Title :
Coloring high-resolution near-infrared images using chromatic cues from low-resolution references
Author :
Chester Brian Lim;Maria Monica Salud;Benjamin Uttoh;Carlo Noel Ochotorena;Cecille Adrianne Ochotorena;Edwin Sybingco
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
Even with the availability of high-resolution color imaging sensors, there are certain limitations in using the visible light band. For instance, visible light easily scatters causing haze in images. The near-infrared (NIR) band offers a viable alternative for such applications. Previous work have demonstrated the uses of NIR in combination with high-resolution colored images. However, the use of two high-resolution imaging devices tend to be expensive and inconvenient to transport. This work proposes the transfer of color from a low-resolution colored image to a higher resolution NIR image. Initial tests have demonstrated the capability of the proposed algorithm in retaining NIR details while preserving the original color intent of the scene.
Keywords :
"Image color analysis","Image resolution","Cameras","Sensors","Image sensors","Algorithm design and analysis"
Publisher :
ieee
Conference_Titel :
Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM), 2015 International Conference on
Type :
conf
DOI :
10.1109/HNICEM.2015.7393267
Filename :
7393267
Link To Document :
بازگشت