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Information Journal Paper

Title

COVER SELECTION STEGANOGRAPHY VIA RUN LENGTH MATRIX AND HUMAN VISUAL SYSTEM

Pages

  131-138

Abstract

 A novel approach for STEGANOGRAPHY COVER SELECTION is proposed, based on IMAGE TEXTURE FEATURES and human visual system. Our proposed algorithm employs RUN LENGTH MATRIX to select a set of appropriate images from an image database and creates their stego version after embedding process. Then, it computes similarity between original images and their stego versions by using structural similarity as image quality metric to select, as the best cover, one image with maximum similarity with its stego. According to the results of comparing our new proposed COVER SELECTION algorithm with other STEGANOGRAPHY methods, it is confirmed that the proposed algorithm is able to increase the stego quality. We also evaluated the robustness of our algorithm over steganalysis methods such as Wavelet based and Block based steganalyses, the experimental results show that the proposed approach decreases the risk of message hiding detection.

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    Cite

    APA: Copy

    NAZARI, SARA, & MOIN, MOHAMMAD SHAHRAM. (2013). COVER SELECTION STEGANOGRAPHY VIA RUN LENGTH MATRIX AND HUMAN VISUAL SYSTEM. JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST), 1(2), 131-138. SID. https://sid.ir/paper/332635/en

    Vancouver: Copy

    NAZARI SARA, MOIN MOHAMMAD SHAHRAM. COVER SELECTION STEGANOGRAPHY VIA RUN LENGTH MATRIX AND HUMAN VISUAL SYSTEM. JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST)[Internet]. 2013;1(2):131-138. Available from: https://sid.ir/paper/332635/en

    IEEE: Copy

    SARA NAZARI, and MOHAMMAD SHAHRAM MOIN, “COVER SELECTION STEGANOGRAPHY VIA RUN LENGTH MATRIX AND HUMAN VISUAL SYSTEM,” JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST), vol. 1, no. 2, pp. 131–138, 2013, [Online]. Available: https://sid.ir/paper/332635/en

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