The purpose of image steganalysis is to find out if the hidden messages exist in images. After differencing DCT coefficients of natural-images and stego-images, their histograms present different laws. This paper regards this as the feature vector to determine if a hiding message is in the image. Through the analysis of former feature vector, the author extracts a new feature to estimate the amount of hidden information in JPEG. The results of the experiments show this approach is effective.


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    Titel :

    A JPEG Steganalysis Algorithm with Embedded Rate Estimation Based on Multi-class SVM


    Beteiligte:
    Pan, Xiaosheng (Autor:in)


    Erscheinungsdatum :

    01.05.2008


    Format / Umfang :

    273626 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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