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Steganalysis for Reversible Data Hiding

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Database Theory and Application (DTA 2009)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 64))

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Abstract

In recent years, several lossless data hiding techniques have been proposed for images. Lossless data embedding can take place in the spatial domain or in the transform domain. They utilized characteristics of the difference image or the transform coefficient histogram and modify these values slightly to embed the data. However, after embedding message bits these steganography changed the nature of the difference image histogram or the transform coefficient histogram gradually. In this paper, we introduce two new steganalytic techniques based on the difference image histogram and the transform coefficient histogram. The algorithm can not only detect existence of secret messages in images which are embedded by above methods reliably, but also estimate the amount of hidden messages exactly.

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References

  1. Honsinger, C., Jone, P., Rabbani, M., Stoffel, J.: Lossless recovery of an original image containing embedded data. US Patent: 6,278,791 B1 (2001)

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  6. CBIR image database, University of Washington, http://www.cs.washington.edu/research/imagedatabase/groundtruth/

  7. USC-SIPI Image Database, http://sipi.usc.edu/services/database/Database.html

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© 2009 Springer-Verlag Berlin Heidelberg

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Thom, H.T.H., Van Canh, H., Tien, T.N. (2009). Steganalysis for Reversible Data Hiding. In: Ślęzak, D., Kim, Th., Zhang, Y., Ma, J., Chung, Ki. (eds) Database Theory and Application. DTA 2009. Communications in Computer and Information Science, vol 64. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10583-8_1

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  • DOI: https://doi.org/10.1007/978-3-642-10583-8_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10582-1

  • Online ISBN: 978-3-642-10583-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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