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Near-Optimal Time Function for Secure Dynamic Visual Cryptography

  • V. Petrauskiene
  • J. Ragulskiene
  • E. Sakyte
  • M. Ragulskis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6939)

Abstract

The strategy for the selection of an optimal time function for dynamic visual cryptography is presented in this paper. Evolutionary algorithms are used to obtain the symmetric piece-wise uniform density function. The fitness function of each chromosome is associated with the derivative of the standard of the time-averaged moiré image. The reconstructed near-optimal time function represents the smallest interval of amplitudes where an interpretable moiré pattern is generated in the time-averaged image. Such time functions can be effectively exploited in computational implementation of secure dynamic visual cryptography.

Keywords

Evolutionary Algorithm Time Function Image Encryption Secret Image Shadow Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • V. Petrauskiene
    • 1
  • J. Ragulskiene
    • 2
  • E. Sakyte
    • 1
  • M. Ragulskis
    • 1
  1. 1.Research Group for Mathematical and Numerical Analysis of Dynamical SystemsKaunas University of TechnologyKaunasLithuania
  2. 2.Kauno KolegijaKaunasLithuania

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