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JBE, vol. 26, no. 1, pp.88-98, January, 2021
Color Noise Detection and Image Restoration for Low Illumination Environment
Gyoheak Oh, Jaelin Lee, and Byeungwoo Jeon
C.A E-mail: email@example.com
Recently, the crime prevention and culprit identification even in a low illuminated environment by CCTV is becoming ever more important. In a low lighting situation, CCTV applications capture images under infrared lighting since it is unobtrusive to human eye. Although the infrared lighting leads to advantage of capturing an image with abundant fine texture information, it is hard to capture the color information which is very essential in identifying certain objects or persons in CCTV images. In this paper, we propose a method to acquire color information through DCGAN from an image captured by CCTV in a low lighting environment with infrared lighting and a method to remove color noise in the acquired color image.
Keyword: Machine learning, DCGAN, color, filter, Near-Infrared
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