• DocumentCode
    3180282
  • Title

    Semi fragile watermarking using Gaussian mixture model for malicious image attacks

  • Author

    Gopalakrishnan, T. ; Ramakrishnan, S. ; Balasamy, K. ; Murugavel, A. S Muthananda

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Dr.Mahalingam Coll. of Eng. & Technol., Pollachi, India
  • fYear
    2011
  • fDate
    11-14 Dec. 2011
  • Firstpage
    120
  • Lastpage
    125
  • Abstract
    In this paper, the requirements, techniques and applications of digital watermarking for high-quality images were discussed. The several classes of digital watermarking techniques defined by their appearance and application domains specify the requirements and summarize the current research efforts in the image applications. An optimal watermark embedding method is developed to achieve minimum watermarking distortion. A secret embedding key is designed to securely embed the fragile watermarks so that the method is robust to counterfeiting, even when the malicious attackers are fully aware of the watermark embedding algorithm. For robustness this algorithm should resist all kinds of attacks, such as common signal processing operators, geometric attacks and so on.
  • Keywords
    Gaussian processes; image watermarking; Gaussian mixture model; common signal processing operators; counterfeiting; digital watermarking techniques; geometric attacks; high-quality images; malicious image attacks; minimum watermarking distortion; optimal watermark embedding method; secret embedding key; semifragile watermarking; Authentication; Discrete cosine transforms; Image coding; Robustness; Transform coding; Watermarking; Wavelet domain; Embedding; Robust; Threshold; Watermarking; wavelet subspace;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies (WICT), 2011 World Congress on
  • Conference_Location
    Mumbai
  • Print_ISBN
    978-1-4673-0127-5
  • Type

    conf

  • DOI
    10.1109/WICT.2011.6141229
  • Filename
    6141229