• DocumentCode
    2126236
  • Title

    A Restorative Image Authentication Scheme with Discrimination of Tampers on Image or Watermark

  • Author

    Ke, Ke ; Zhao, Tao ; Li, Ou

  • Author_Institution
    Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou, China
  • fYear
    2010
  • fDate
    11-13 Aug. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Most image authentication schemes in the literature are either vulnerable to vector quantization (VQ) counterfeiting attacks or sacrifice localization accuracy to improve the security. Only a few algorithms exist to take the recovery of the tampered areas into account. This motivates us to develop a novel authentication scheme for the accurate tamper localization and restoration of the tampered areas. In particular, the host image will firstly be divided into blocks, the recovery watermark of each block is embedded into another distant block selected by a key, and the localization watermark of each block is embedded into itself. During generating the localization watermarks, the sliding window is used to put resistance against VQ attack. It is the dual watermarks that can distinguish tampering watermark from that of image. Theoretical analysis and experimental results demonstrate that the watermarked image has higher quality, and what´s more the position of tampered areas can be located correctly. Additionally, it can restore the tampered region effectively.
  • Keywords
    image coding; image restoration; vector quantisation; watermarking; image authentication schemes; image watermarking; restorative image authentication scheme; tamper localization; tampered areas restoration; tampers discrimination; vector quantization counterfeiting attacks; Algorithm design and analysis; Authentication; Conferences; Image restoration; PSNR; Pixel; Watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Ubiquitous Engineering (MUE), 2010 4th International Conference on
  • Conference_Location
    Cebu
  • Print_ISBN
    978-1-4244-7563-6
  • Type

    conf

  • DOI
    10.1109/MUE.2010.5575077
  • Filename
    5575077