• DocumentCode
    2198795
  • Title

    JPEG Image Steganalysis Improvement Via Image-to-Image Variation Minimization

  • Author

    Leng, Chiew Kang ; Pieprzyk, Josef

  • Author_Institution
    Fac. of Comput. Sci. & Inf. Technol., Univ. Malaysia Sarawak, Kota Samarahan
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    223
  • Lastpage
    227
  • Abstract
    In this research, we introduce an approach to enhance the discriminative capability of features by employing image-to-image variation minimization. In order to minimize image-to-image variation, we will estimate the cover image from the stego image by decompressing the stego image, transforming the decompressed image and re compressing back. Since the effect of the embedding operation in an image steganography is actually a noise adding process to the image, applying these three processes will smooth out the noise and hence the estimated cover image can be obtained.
  • Keywords
    data compression; image coding; minimisation; steganography; JPEG image steganalysis improvement; image steganography; image-to-image variation minimization; noise adding process; stego image decompression; Acoustic noise; Bayesian methods; Computer science; Feature extraction; Higher order statistics; Histograms; Image generation; Information technology; Object detection; Steganography; Classification; Image-to-Image Variation; JPEG; Steganalysis; Steganography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Theory and Engineering, 2008. ICACTE '08. International Conference on
  • Conference_Location
    Phuket
  • Print_ISBN
    978-0-7695-3489-3
  • Type

    conf

  • DOI
    10.1109/ICACTE.2008.94
  • Filename
    4736955