Image Steganalysis Based on Cross-Subband Correlation in Wavelet Domain

نویسندگان

  • Tae Hee Park
  • Il Kyu Eom
چکیده

This paper presents an image steganalysis scheme based on interand intrascale wavelet subband correlations. The image is decomposed into eight pairs of interscale subbands and the joint characteristic function moments are extracted as features. Also we extract singular values from characteristic function moments of co-occurrence value for intrascale wavelet subbands in the same scale. Extracted features are used as input of SVM classifier. Simulation results show that the proposed scheme outperforms the previous steganalysis methods in detection rate.

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تاریخ انتشار 2012