We investigate data hiding techniques that attempt to defeat steganalysis by restoring the statistics of the composite image to resemble that of the cover. The approach is to reserve a number of host symbols for statistical restoration: host statistics perturbed by data embedding are restored by suitably modifying the symbols from the reserved set. While statistical restoration has broad applicability to a variety of hiding methods, we illustrate our ideas here for quantization index modulation (QIM) based hiding. We propose a method for significantly reducing the detectability of QIM, while preserving its robustness to attacks. We next use the framework of statistical restoration to develop a method to combat steganalysis techniques which detect block-DCT embedding by evaluating the increase in blockiness of the image due to hiding. Numerical results demonstrating the efficacy of these techniques are provided.


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    Titel :

    Statistical restoration for robust and secure steganography


    Beteiligte:
    Solanki, K. (Autor:in) / Sullivan, K. (Autor:in) / Madhow, U. (Autor:in) / Manjunath, B.S. (Autor:in) / Chandrasekaran, S. (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    90478 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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