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The Research on Outdoor Video Recovery System Based on GUI

  • Wang Jing
  • Chen Dan
  • Chen Yangmei
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 146)

Abstract

Weather conditions directly affect the quality of the video image, the same scene under different weather conditions, the difference spectrum of the video image can be regarded as only the transfer function caused by the atmosphere. The image degradation caused by bad weather as a result of the impact of air transport system, from bad weather to get to extract still frames of video as a training sequence, it should be on the atmospheric transport inverse weather system model, whereby the video processing, to eliminate the impact of weather on image quality, the video in the GUI to achieve recovery. To achieve better portability and versatility, we made the GUI into the final executable program.

Keywords

Atmospheric transport inverse system Neural network Training Video processing 

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References

  1. 1.
    Sadot, D., Kopeika, N.S.: Imaging through the atmosphere: practical instrumentation-based theory and verify citation of aerosol modulation transfer r function. Opt. Soc. Am. 10(1), 172–179 (1993)CrossRefGoogle Scholar
  2. 2.
  3. 3.
    Succary, R.: Relative effects of distortion and noise on target acquisition: the advisability of image restoration. Opt. Eng. 37(7), 1914–1922 (1998)CrossRefGoogle Scholar
  4. 4.
    Wang, H., Liu, X.: The use of atmospheric modulation transfer function degradation in image restoration weather. Shenyang Institute of Aeronautical Technology 23(5), 94–96 (2006)Google Scholar
  5. 5.
    Qian, H., Niu, S.: Natural features in the study of popular degradation model. Computer Aided Design and Computer Graphics 13(9), 793–799 (2001)Google Scholar
  6. 6.
    Fei, X.: MATLAB application of image processing. Xidian University Press, Xi’an (2002); Xu, F.: MATLAB applying in image processing. Publishing House of Xidian University, Xi’an (2002) Google Scholar
  7. 7.
    Luo, H.: MATLAB GUI design learning Notes. Beijing University of Aeronautics and Astronautics Press, Beijing (2011)Google Scholar
  8. 8.
    Rumelhart, D.E.: Parallel diatrbuted processing, vol. 1. MIT Press, Cambridge (1986)Google Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Wang Jing
    • 1
  • Chen Dan
    • 1
  • Chen Yangmei
    • 1
  1. 1.Institute of Automation and Electronic InformationSichuan University of Science & EngineeringZigongChina

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