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Proceedings Paper

Color night vision method based on the correlation between natural color and dual band night image
Author(s): Yi Zhang; Lian-fa Bai; Chuang Zhang; Qian Chen; Guo-hua Gu
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Paper Abstract

Color night vision technology can effectively improve the detection and identification probability. Current color night vision method based on gray scale modulation fusion, spectrum field fusion, special component fusion and world famous NRL method, TNO method will bring about serious color distortion, and the observers will be visual tired after long time observation. Alexander Toet of TNO Human Factors presents a method to fuse multiband night image a natural day time color appearance, but it need the true color image of the scene to be observed. In this paper we put forward a color night vision method based on the correlation between natural color image and dual band night image. Color display is attained through dual-band low light level images and their fusion image. Actual color image of the similar scene is needed to obtain color night vision image, the actual color image is decomposed to three gray-scale images of RGB color module, and the short wave LLL image, long wave LLL image and their fusion image are compared to them through gray-scale spatial correlation method, and the color space mapping scheme is confirmed by correlation. Gray-scale LLL images and their fusion image are adjusted through the variation of HSI color space coefficient, and the coefficient matrix is built. Color display coefficient matrix of LLL night vision system is obtained by multiplying the above coefficient matrix and RGB color space mapping matrix. Emulation experiments on general scene dual-band color night vision indicate that the color display effect is approving. This method was experimented on dual channel dual spectrum LLL color night vision experimental apparatus based on Texas Instruments digital video processing device DM642.

Paper Details

Date Published: 6 August 2009
PDF: 7 pages
Proc. SPIE 7384, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, 73841F (6 August 2009); doi: 10.1117/12.835552
Show Author Affiliations
Yi Zhang, Nanjing Univ. of Science & Technology (China)
Lian-fa Bai, Nanjing Univ. of Science & Technology (China)
Chuang Zhang, Nanjing Univ. of Information Science and Technology (China)
Qian Chen, Nanjing Univ. of Science & Technology (China)
Guo-hua Gu, Nanjing Univ. of Science & Technology (China)


Published in SPIE Proceedings Vol. 7384:
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications
Kun Zhang; Xiang-jun Wang; Guang-jun Zhang; Ke-cong Ai, Editor(s)

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