• DocumentCode
    460028
  • Title

    Self-Embedding Data Hiding for Non-Gaussian State-Dependent Channels: Laplacian Case

  • Author

    Koval, O. ; Voloshynovskiy, S. ; Pun, T.

  • Author_Institution
    CVML, CUI-Univ. of Geneva
  • fYear
    2006
  • fDate
    9-12 July 2006
  • Firstpage
    845
  • Lastpage
    848
  • Abstract
    In this paper, we consider the problem of optimal self-embedding Laplacian data hiding for the state-dependent channels. In particular, we propose to decompose the Laplacian data using the paradigm of parallel source splitting. Experimental validation confirms the efficiency of the proposed approach
  • Keywords
    channel coding; data encapsulation; image coding; nonGaussian state-dependent channel; parallel source splitting; self-embedding Laplacian data hiding; AWGN; Computer aided software engineering; Data encapsulation; Digital communication; Interference cancellation; Interference constraints; Laplace equations; Memoryless systems; Random variables; Watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2006 IEEE International Conference on
  • Conference_Location
    Toronto, Ont.
  • Print_ISBN
    1-4244-0366-7
  • Electronic_ISBN
    1-4244-0367-7
  • Type

    conf

  • DOI
    10.1109/ICME.2006.262633
  • Filename
    4036732
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=460028