Research on low illumination shortwave infrared image enhancement algorithm
Received:June 18, 2019  Revised:November 11, 2020  download
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Author NameAffiliationE-mail
ZHANG Rui University of Chinese Academy of Sciences Beijing 100049 China
Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai 200083 China
key Laboratory of Infrared System Detection and Imaging Technology Shanghai 200083 China 
1546853078@qq.com 
TANG Xin-Yi Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai 200083 China
key Laboratory of Infrared System Detection and Imaging Technology Shanghai 200083 China 
tangxini@189.cn 
LI Zheng Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai 200083 China
key Laboratory of Infrared System Detection and Imaging Technology Shanghai 200083 China 
 
Abstract:In order to expand application of uncooled short wave infrared array detectors for low-light night vision, a research on low-light imaging of short-wave infrared have carried out. This paper proposes a new image enhancement method to suppress image noise, enhance image details and improve image quality. The proposed schemes use 3DNR (3D noise reduction), combine the multi-scale Gaussian differential method with the edge preserving filter to separate the high-frequency information and hidden noise of the image to the maximum extent, and then carry out the adaptive grayscale mapping for the image. The experimental results demonstrate that the proposed algorithm outperforms some state-of-the-art algorithms, and it can achieve outstanding image enhancement performance and suppress the time-domain noise of the image under low-light illumination.
keywords:low Illumination  short wave infrared (SWIR)  retinex model  image enhancement  noise reduction
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