DocumentCode :
3770236
Title :
Enhancing low-light color images using an RGB-NIR single sensor
Author :
Hiroki Yamashita;Daisuke Sugimura;Takayuki Hamamoto
Author_Institution :
Graduate School of Engineering, Tokyo University of Science, 6-3-1, Niijuku, Katsusika-ku, Tokyo 125-8585, Japan
fYear :
2015
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, we propose a method to enhance the color image of a low-light scene by using a single sensor that simultaneously captures red, green, blue (RGB) and near-infrared (NIR) information. Typical image enhancement methods require two cameras to simultaneously capture color and NIR images. In such cases, meticulous calibration is required to adjust the pixel positions of the two cameras. By contrast, our proposed system is calibration free, but achieves accurate color image restoration. We divide the captured multi-spectral data into RGB and NIR information based on the spectral sensitivity of our imaging system. Using the NIR information for guidance, we reconstruct the corresponding clear color image based on a joint demosaicking and denoising technique. Our experiments show the effectiveness of our method using raw data captured by our imaging system.
Keywords :
"Color","Noise reduction","Imaging","Image restoration","Image reconstruction","Sensitivity","Image color analysis"
Publisher :
ieee
Conference_Titel :
Visual Communications and Image Processing (VCIP), 2015
Type :
conf
DOI :
10.1109/VCIP.2015.7457844
Filename :
7457844
Link To Document :
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