• DocumentCode
    2008158
  • Title

    Compression tolerant image authentication

  • Author

    Bhattacharjee, Sushil ; Kutter, Martin

  • Author_Institution
    Signal Process. Lab., Fed. Inst. of Technol., Lausanne, Switzerland
  • Volume
    1
  • fYear
    1998
  • fDate
    4-7 Oct 1998
  • Firstpage
    435
  • Abstract
    It is straightforward to apply general schemes for authenticating digital data to the problem of authenticating digital images. However, such a scheme would not authenticate images that have undergone lossy compression, even though they may not have been manipulated otherwise. We propose a scheme for authenticating the visual content of digital images. This scheme is robust to compression noise, but will detect deliberate manipulation of the image-data. The proposed scheme is based on the extraction of feature-points from the image. These feature-points are defined so as to be relatively unaffected by lossy compression. The set of feature-points from a given image is encrypted using public key encryption, to generate the digital signature of the image. Authenticity is verified by comparing the feature-points of the image in question, with those recovered from the previously computed digital signature
  • Keywords
    data compression; feature extraction; image coding; message authentication; noise; public key cryptography; compression noise; compression tolerant image authentication; digital data; digital images; digital signature; feature-points extraction; image data manipulation detection; lossy compression; public key encryption; visual content; Authentication; Digital images; Digital signal processing; Digital signatures; Feature extraction; Histograms; Image coding; Noise robustness; Public key; Public key cryptography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-8186-8821-1
  • Type

    conf

  • DOI
    10.1109/ICIP.1998.723518
  • Filename
    723518