• DocumentCode
    3418457
  • Title

    A ROI-based self-embedding method with high recovery capability

  • Author

    Hongliang Cai ; Huajian Liu ; Steinebach, Martin ; Xiaojing Wang

  • Author_Institution
    Chengdu Inst. of Comput. Applic., Chengdu, China
  • fYear
    2015
  • fDate
    19-24 April 2015
  • Firstpage
    1722
  • Lastpage
    1726
  • Abstract
    In this paper, a novel block-wise fragile image watermarking algorithm for tampering localization and recovery is proposed. The image is divided into Region of Interest (ROI) and Region of Non Interest (RONI). Considering the ROI-based self-embedding problem as a special erasure channel, fountain code is applied in our method to deal with the reference symbols loss. And to minimize quality degradation in ROI, the reference symbols for recovery are only embedded into RONI blocks. Theoretical analysis shows that the result is nearly optimal, and the experimental results demonstrate the proposed method can offer low payload and high tamper tolerance. And the quality of both the watermarked image and the reconstructed image is high.
  • Keywords
    channel coding; embedded systems; image reconstruction; image watermarking; ROI-based self-embedding method; RONI-based self-embedding problem; block-wise fragile image watermarking algorithm; fountain code; high recovery capability; image quality degradation minimization; image reconstruction; reference symbol loss; region of interest; region of noninterest; special erasure channel; tampering localization; tampering recovery; Authentication; Biomedical imaging; Decoding; Encoding; Image reconstruction; Payloads; Watermarking; Region of Interest; fountain code; multimedia authentication; watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
  • Conference_Location
    South Brisbane, QLD
  • Type

    conf

  • DOI
    10.1109/ICASSP.2015.7178265
  • Filename
    7178265