• DocumentCode
    174233
  • Title

    An image fragile watermarking scheme based on chaotic system for image tamper detection

  • Author

    Moniruzzaman, Md ; Hawlader, Md Abul Kayum ; Hossain, Md Faruque

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Khulna Univ. of Eng. & Technol., Khulna, Bangladesh
  • fYear
    2014
  • fDate
    23-24 May 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Image watermarking techniques are specially used to provide copyright protection, owner´s identification, image authentication and tamper detection. Fragile watermarking is usually used for image authentication and tamper detection. In this paper, fragile watermarking scheme based on chaotic system has been proposed. Two dimensional Arnold´s cat map has been used to improve the security of the proposed watermarking scheme. Arnold´s cat map is sensitive to the initial values. This map is specially used to obtain the scrambled image by shuffling the pixel positions of the host image. Therefore the number of iterations and the initial values which are used to obtain scrambled image can be used as secret keys. The proposed scheme provides high security, extracts watermark from the tampered image and also localizes the tampered areas. Experimental results of proposed method have been compared with other existing two chaotic system based watermarking schemes. From the experimental results it can be seen that the proposed watermarking scheme gives better results than other chaos based watermarking schemes.
  • Keywords
    chaos; image watermarking; security of data; chaotic system based watermarking; copyright protection; image authentication; image fragile watermarking scheme; image tamper detection; image watermarking techniques; security; tampered image; two dimensional Arnold cat map; Chaos; Informatics; PSNR; Robustness; Watermarking; chaotic map; fragile- wateramrk; robustness; watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics, Electronics & Vision (ICIEV), 2014 International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4799-5179-6
  • Type

    conf

  • DOI
    10.1109/ICIEV.2014.6850866
  • Filename
    6850866