NDLI: Capturing color and near-infrared images with different exposure times for image enhancement under extremely low-light scene

Content Provider	IEEE Xplore Digital Library
Author	Mikami, Takuya Sugimura, Daisuke Hamamoto, Takayuki
Copyright Year	2014
Description	Author affiliation: Graduate School of Engineering, Tokyo University of Science, Katsushika-Ku, Tokyo 125-8585, Japan (Mikami, Takuya; Sugimura, Daisuke; Hamamoto, Takayuki)
Abstract	Noise and blur are annoying, common problems in low-light photography. In this paper, we propose a novel framework to reconstruct a blur and noise-free color image sequence using near-infrared (NIR) images. In extremely low light, previous works may fail in color image restoration because both heavy noise and motion blur are produced simultaneously. To overcome these essential problems, we augment both the imaging system and image synthesis method. Our imaging system captures the color and NIR images with different exposure times. Capturing color image with a long exposure time allows us to mitigate the heavy noise. In contrast, the NIR images are taken with a short exposure time to measure the structure of the scene. By leveraging the captured image pairs, we reconstruct a latent color image sequence using a scale map and color correlation. Our experiments on actual images show that our method outperforms other state-of-the-art methods under extremely low-light condition.
Starting Page	669
Ending Page	673
File Size	3878681
Page Count	5
File Format	PDF
ISBN	9781479957514
DOI	10.1109/ICIP.2014.7025134
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-27
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Color Image color analysis Imaging Colored noise Image reconstruction Ash near-infrared image enhancement low-light scene
Content Type	Text
Resource Type	Article

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