• DocumentCode
    2988354
  • Title

    Information embedding with reversible stegotext

  • Author

    Sumszyk, Orna ; Steinberg, Yossef

  • Author_Institution
    Dept. of Electr. Eng., Technion - Israel Inst. of Technol., Haifa, Israel
  • fYear
    2009
  • fDate
    June 28 2009-July 3 2009
  • Firstpage
    2728
  • Lastpage
    2732
  • Abstract
    Information embedding is the transmission of an independent data embedded into a host signal via a noisy channel. Reversible information embedding (RIE) extends this model by adding the requirement of decoding the host signal. In some applications however, this requirement is too strong. For example, if the user is interested in decoding the data and further transmitting the stegotext, i.e. the result of the embedding of independent data into the host, then full decoding of the host is not needed, only re-production of the stegotext. This work expands the study of information embedding channels by adding the requirement of retrieving the stegotext at the destination. A single-letter characterization of the achievable rate-distortion region is developed. In particular, it is shown that a rate higher than the RIE rate can be achieved, under the (more relaxed) requirement of stegotext decoding. Two examples are solved, and an iterative algorithm that computes numerically the capacity is provided.
  • Keywords
    channel capacity; channel coding; iterative decoding; rate distortion theory; signal processing; steganography; telecommunication security; achievable rate-distortion region; host signal decoding; independent data transmission; information embedding; iterative algorithm; noisy channel capacity; reversible stegotext; single-letter characterization; Channel capacity; Communication channels; Costs; Degradation; Entropy; Information retrieval; Iterative algorithms; Iterative decoding; Rate-distortion; Writing; Arimoto-Blahut algorithm; Stegotext reversibility; information embedding; state dependent channels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2009. ISIT 2009. IEEE International Symposium on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-4312-3
  • Electronic_ISBN
    978-1-4244-4313-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2009.5205855
  • Filename
    5205855