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Single-channel time-multiplexed multi-spectral night vision technology research

Author: LiuQiong
Tutor: BaiLianFa
School: Nanjing University of Technology and Engineering
Course: Optical Engineering
Keywords: single-channel color night vision time-division multiplex spectral modulation multi-spectral images fusion retinex theory
CLC: TP391.41
Type: Master's thesis
Year: 2012
Downloads: 41
Quote: 0
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Abstract


With the development of color night vision technology, night-vision device is widely used in military, aviation, meteorology, medical and other fields. In this paper, based on the multi-channel multi-sensor night vision detection technology, Single-channel time-division multiplexing multi-spectral night vision detection technology is innovatively proposed, which avoid the high cost, cumbersome image registration algorithm, complex construction and many other issues of the original multi-channel night vision system.Firstly, based on the detailed analysis of a variety of spectral modulation methods, selecting LCLV as a spatial light modulator device, which quickly use the change of voltage to control the switch of different spectral, time-division multiplexing achieve the detection of the multi-spectral image information. Then, through a lot of research and simulation experiments about the multi-spectral color image fusion algorithms, to solve the problem of uneven image brightness and color distortions the color enhancement algorithm based on the Retinex theory model is introduced into the fusion algorithm and two new algorithms are proposed, the fusion result of which are proved to be outstanding in color correction and detail enhancement by many evaluation methods. Finally, through the software and hardware synthetically debugging on this LCLV night vision experiment device, the single-channel multi-spectral color night vision image is obtained, the research object that obviously enhances the target detection and the identification probability in low-light conditions is successfully achieved.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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