• DocumentCode
    2577801
  • Title

    Gaussian scale-space features for semi-fragile image authentication

  • Author

    Schlauweg, Mathias ; Müller, Erika

  • Author_Institution
    Fac. of Comput. Sci. & Electr. Eng., Univ. of Rostock, Rostock, Germany
  • fYear
    2009
  • fDate
    6-8 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we propose a new robust image hashing approach to be used for semi-fragile image authentication. We use a texture-based feature, the so-called gray-level blob in Gaussian scale-space, which is invariant to scaling, rotation, and translation. It is associated with the image content and thus independent of image geometry. Furthermore, we show that our new approach is robust against a variety of signal processing operations, such as lossy compression, contrast and luminance enhancement, blurring, sharpening as well as noise adding.
  • Keywords
    Gaussian processes; cryptography; data compression; feature extraction; image coding; image enhancement; image texture; message authentication; Gaussian scale-space features; contrast enhancement; gray-level blob; image blurring; image geometry; image sharpening; lossy compression; luminance enhancement; robust image hashing approach; semifragile image authentication; signal processing operation; texture-based feature; Authentication; Computer vision; Cryptography; Detectors; Digital images; Image coding; Noise robustness; Signal generators; Signal processing; Watermarking; Digital watermarking; Gaussian scale-space; RST-invariant; texture-based feature points;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Picture Coding Symposium, 2009. PCS 2009
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4244-4593-6
  • Electronic_ISBN
    978-1-4244-4594-3
  • Type

    conf

  • DOI
    10.1109/PCS.2009.5167462
  • Filename
    5167462