• DocumentCode
    2573145
  • Title

    Image authentication technology based on semi-fragile scrambling watermarking

  • Author

    Gao, Zhirong ; Lü, Jin

  • Author_Institution
    Dept. of Comput. Sci., South-Central Univ. for Nat., Wuhan, China
  • fYear
    2011
  • fDate
    27-29 June 2011
  • Firstpage
    3268
  • Lastpage
    3271
  • Abstract
    In order to distinguish the conventional image manipulation and malicious tampering more effectively , this paper implements an image authentication algorithm based on semi-fragile scrambling watermarking. The original image is firstly decomposed into pixel-based bit-planes, then the Arnold scrambled binary watermarking is embedded as a mask information into a particular bit-plane of original image. In the image detection side, the extracted watermarking is combined with a tamper assessment function to determine the credibility of image authentication. Experimental results show that the algorithm is robust to several conventional image manipulation like brightness adjusted, JPEG compression, salt and pepper noise ,and median filtering ,and which is simultaneously fragile to malicious tampering .The position of malicious tampering can be localized accurately.
  • Keywords
    authorisation; feature extraction; image coding; image watermarking; median filters; Arnold scrambled binary watermarking; JPEG compression; brightness adjustment; image authentication algorithm; image detection; image manipulation; malicious tampering; median filtering; pixel-based bit-planes; salt and pepper noise; semifragile scrambling watermarking; tamper assessment function; watermarking extraction; Authentication; Classification algorithms; Discrete cosine transforms; PSNR; Robustness; Transform coding; Watermarking; Arnold Transform; Image Authentication; Semi-fragile Watermarking; Tamper Detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Service System (CSSS), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9762-1
  • Type

    conf

  • DOI
    10.1109/CSSS.2011.5972086
  • Filename
    5972086