• DocumentCode
    3069331
  • Title

    A Geometric Attack Resistant Image Watermarking Scheme Based on Invariant Centroids

  • Author

    Mwangi, Elijah

  • Author_Institution
    Univ. of Nairobi, Nairobi
  • fYear
    2007
  • fDate
    15-18 Dec. 2007
  • Firstpage
    190
  • Lastpage
    193
  • Abstract
    A digital image watermarking scheme that uses invariant centroids to detect and correct geometric attacks is proposed. The centroids are determined by computing a convergent geometric moment of a circular region of a predetermined size. These centroids serve as reference points for a region of interest in which a binary image is embedded using a wavelet based method and a private key to enhance robustness. In the watermark retrieval phase, the geometric attacks are estimated by identifying the centroids shift and making corrections. The centroids also help to identify the likely region in which the watermark could have been embedded. A search is performed by slightly perturbing the region of interest boundary until the highest correlation of the extracted watermark to the original watermark is obtained. Computer simulation results show that the method is effective in the retrieval of watermarks after geometric attacks. It is also robust against common signal processing attacks.
  • Keywords
    feature extraction; image coding; private key cryptography; watermarking; wavelet transforms; feature extraction; geometric attack resistant image watermarking; invariant centroid; private key; wavelet based method; Computer simulation; Data mining; Digital images; Digital signal processing; Image converters; Information technology; Phase estimation; Resistance; Robustness; Watermarking; Digital watermarking; data hiding; geometric distortion; image centroid; wavelets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology, 2007 IEEE International Symposium on
  • Conference_Location
    Giza
  • Print_ISBN
    978-1-4244-1835-0
  • Electronic_ISBN
    978-1-4244-1835-0
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2007.4458073
  • Filename
    4458073