NDLI: Color fusion method for low-light-level and infrared images in night vision

Content Provider	IEEE Xplore Digital Library
Author	Shaokui Yang Wen Liu Chan Deng Xin Zhang
Copyright Year	2012
Description	Author affiliation: Xi'an Institute of Optics and Precision Mechanics of Chinese Academy of Science, 710119 China (Shaokui Yang; Wen Liu; Chan Deng; Xin Zhang)
Abstract	The fusion of low-light-level image and infrared image can increase the reliability of interpretation since it combines the complementary information in multispectral images, and that a color fused image can improve human observer performance and reaction times. To obtain a color night vision image by dual band sensors (visible and infrared), we first adopt the false color fusion scheme by principles of biological opponent-color vision, then transfer the first order statistics of a natural color image (target image) to the false color fused image in a perceptually decorrelated YCbCr color space. In order to give prominence to targets and details in the result, we produce a grayscale fused image using principal component analysis of the visible and infrared images, and substitute it for the Y component during the color transfer procedure. Finally, we illustrated an example of the whole fusing process. The realistic, colorful and natural fused image demonstrates validity of the method.
Starting Page	534
Ending Page	537
File Size	307045
Page Count	4
File Format	PDF
ISBN	9781467309653
e-ISBN	9781467309646
DOI	10.1109/CISP.2012.6469757
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Night vision Visualization false color fusion Image color analysis color transfer Humans Color Gray-scale Observers YCbCr color space principal component analysis(PCA)
Content Type	Text
Resource Type	Article

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