• DocumentCode
    2627715
  • Title

    Image encryption based on convolution operation in the gyrator transform domain

  • Author

    Daza, Sandra M. ; Vega, Fabio ; Matos, Lorenzo ; Moren, César Torres ; Díaz, Leonardo ; Daza, Y.M.

  • Author_Institution
    Magister en Cienc. Fisicas SUE Caribe, Popular Univ. of Cesar, Valledupar, Colombia
  • fYear
    2012
  • fDate
    25-28 Oct. 2012
  • Firstpage
    1527
  • Lastpage
    1529
  • Abstract
    Recently, the gyrator transform (GT), which is also a kind of linear canonical transform (LCT), has been researched in the fields of image processing, mathematics and optics; the calculation of discrete GT can be implemented by Fresnel diffraction integral in free space under paraxial approximation; in this paper The expression of gyrator transform (GT) is rewritten by using convolution operation, from which GT can be composed of phase-only filtering, Fourier transform and inverse Fourier transform. We investigate an algorithm computing discrete GT by simulating the convolution expression of fractional Fourier transform. Some simulations in order to evaluate the difference between inverse transformed image and original image are presented to demonstrate the validity of the algorithm, the reversibility of numerical algorithm of transform is important to the field of optical information processing, such as image encryption, filtering and correlation.
  • Keywords
    Fourier transforms; Fresnel diffraction; cryptography; image watermarking; inverse transforms; Fresnel diffraction integral; GT; LCT; convolution operation; fractional Fourier transform; gyrator transform domain; image encryption; image watermarking; inverse Fourier transform; inverse transformed image; linear canonical transform; optical information processing; original image; paraxial approximation; phase-only filtering; Equations; Mathematical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Montreal, QC
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4673-2419-9
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2012.6388515
  • Filename
    6388515