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Image Encryption through Using Chaotic Function and Graph

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Computer Vision and Graphics (ICCVG 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6374))

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Abstract

In this research paper, we proposed a new method for image encryption through using chaotic function and graph theory. In this technique, we used a graph for making the coding algorithm more complicated with higher security and changing the gray value of the original image. Experimental results denote that the method benefit from high efficiency against prevalent attacks; for example, the obtained entropy value is 7.9911 that is very close to ideal value of 8.

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Author information

Authors and Affiliations

  1. Islamic Azad University, Qazvin Branch, Qazvin, Iran

    Sa’ed Faridnia

  2. Amirkabir University of Technology, Tehran, Iran

    Karim Fae’z

Authors
  1. Sa’ed Faridnia
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  2. Karim Fae’z
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Editor information

Editors and Affiliations

  1. Polish-Japanese Institute of Information Technology, 86 Koszykowa St, 02-008, Warsaw, Poland

    Leonard Bolc

  2. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Faculty of Applied Informatics and Mathematics, Department of Informatics, Warsaw University of Life Sciences, Nowoursynowska 159, 02-776, Warsaw, Poland

    Leszek J. Chmielewski

  4. Polish-Japanese Institute of Information Technology, 86 Koszykowa St, 02-008 Warsaw, konradw@pjwstk.edu.pl, The Silesian University of Technology, Institute of Computer Science, Akademicka 16, 44-100 Gliwice, Polan

    Konrad Wojciechowski

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© 2010 Springer-Verlag Berlin Heidelberg

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Faridnia, S., Fae’z, K. (2010). Image Encryption through Using Chaotic Function and Graph. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2010. Lecture Notes in Computer Science, vol 6374. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15910-7_40

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  • DOI: https://doi.org/10.1007/978-3-642-15910-7_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15909-1

  • Online ISBN: 978-3-642-15910-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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