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The Single-channel Time-division Multiplexing Multi-spectral Night Vision Detection Technology Research

Posted on:2013-02-24Degree:MasterType:Thesis
Country:ChinaCandidate:Q LiuFull Text:PDF
GTID:2218330371460110Subject:Optical Engineering
Abstract/Summary:PDF Full Text Request
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.
Keywords/Search Tags:single-channel color night vision, time-division multiplex, spectral modulation, multi-spectral images fusion, retinex theory
PDF Full Text Request
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