• DocumentCode
    3808866
  • Title

    Detection of Double-Compression in JPEG Images for Applications in Steganography

  • Author

    Tom?s? Pevny;Jessica Fridrich

  • Author_Institution
    Dept. of Comput. Sci., Binghamton Univ., Binghamton, NY
  • Volume
    3
  • Issue
    2
  • fYear
    2008
  • Firstpage
    247
  • Lastpage
    258
  • Abstract
    This paper presents a method for the detection of double JPEG compression and a maximum-likelihood estimator of the primary quality factor. These methods are essential for construction of accurate targeted and blind steganalysis methods for JPEG images. The proposed methods use support vector machine classifiers with feature vectors formed by histograms of low-frequency discrete cosine transformation coefficients. The performance of the algorithms is compared to selected prior art.
  • Keywords
    "Steganography","Transform coding","Image coding","Maximum likelihood detection","Maximum likelihood estimation","Q factor","Support vector machines","Support vector machine classification","Histograms","Art"
  • Journal_Title
    IEEE Transactions on Information Forensics and Security
  • Publisher
    ieee
  • ISSN
    1556-6013
  • Type

    jour

  • DOI
    10.1109/TIFS.2008.922456
  • Filename
    4512175
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3808866