• DocumentCode
    3276951
  • Title

    Global Geometric Distortion Correction in Images

  • Author

    Awrangjeb, Mohammad ; Murshed, Manzur ; Lu, Guojun

  • Author_Institution
    Gippsland Sch. of Inf. Technol., Monash Univ., Clayton, Vic.
  • fYear
    2006
  • fDate
    3-6 Oct. 2006
  • Firstpage
    435
  • Lastpage
    440
  • Abstract
    The performance of existing copyright protection schemes is questionable due to their vulnerability to geometric transformations. Though a few of them can resist global geometric transformations like rotation and scaling attacks, most of them are vulnerable to rotation-scale and cropping attacks. This paper presents a novel geometric distortion correction scheme robust to global geometric transformations. It restores an attacked image to its approximate original by reversing the attack using the invariant centroid and geometric moments of the image. Experimental results show the effectiveness of the proposed scheme
  • Keywords
    approximation theory; copy protection; copyright; geometry; image restoration; approximation; copyright protection scheme; cropping attack; geometric distortion correction scheme; geometric transformation; image restoration; rotation-scale attack; vulnerability; Australia; Copyright protection; Frequency synchronization; Image restoration; Information security; Information technology; Phase detection; Resists; Robustness; Watermarking; copyright protection; geometric transformation; invariant centroid; moments; rotation; scaling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Signal Processing, 2006 IEEE 8th Workshop on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-9751-7
  • Electronic_ISBN
    0-7803-9752-5
  • Type

    conf

  • DOI
    10.1109/MMSP.2006.285346
  • Filename
    4064596