• DocumentCode
    3356042
  • Title

    Wavelet-based image compression anti-forensics

  • Author

    Stamm, Matthew C. ; Liu, K. J Ray

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Maryland, College Park, MD, USA
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    1737
  • Lastpage
    1740
  • Abstract
    Because digital images can be modified with relative ease, considerable effort has been spent developing image forensic algorithms capable of tracing an image´s processing history. In contrast to this, relatively little consideration has been given to anti-forensic operations designed to mislead forensic techniques. In this paper, we propose an anti-forensic technique capable of removing artifacts indicative of wavelet-based image compression from an image. Our technique operates by adding anti-forensic dither to a previously compressed image´s wavelet coefficients so that the anti-forensically modified wavelet coefficient distribution matches a model of the coefficient distribution before compression. Simulation results show that our algorithm is capable of fooling current forensic image compression detection algorithms 100% of the time.
  • Keywords
    computer forensics; data compression; image coding; wavelet transforms; anti-forensic dither; anti-forensic operations; artifact removal; digital images; forensic image compression detection; image forensic; image processing history; wavelet based image compression; wavelet coefficient distribution; Forensics; Histograms; History; Image coding; Mathematical model; Quantization; Transform coding; Anti-Forensics; Digital Forensics; Image Compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5652845
  • Filename
    5652845