Research on low illumination shortwave infrared image enhancement algorithm
投稿时间:2019-06-18  修订日期:2020-11-11  download
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作者单位E-mail
张瑞 中国科学院大学北京 100049
中国科学院上海技术物理研究所上海 200083
中国科学院红外探测与成像技术重点实验室上海 200083 
1546853078@qq.com 
汤心溢 中国科学院上海技术物理研究所上海 200083
中国科学院红外探测与成像技术重点实验室上海 200083 
tangxini@189.cn 
李争 中国科学院上海技术物理研究所上海 200083
中国科学院红外探测与成像技术重点实验室上海 200083 
 
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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Copyright:《Journal of Infrared And Millimeter Waves》