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An Attempt to Generalize Distortion Measure for JPEG Steganography

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The International Workshop on Digital Forensics and Watermarking 2012 (IWDW 2012)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 7809))

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Abstract

In this paper, we present several methods to improve performance of the existing data hiding method for JPEG steganography. Recent JPEG steganographic methods usually exploit minimum distortion strategy, where each DCT coefficients has predefined distortion value. Such strategy uses the best solution for data hiding with minimum cumulative distortion. Steganographic methods based on hiding data using the best solution with minimum distortion have better chance to pass powerful steganalysis presented in literature. Thus, the key point for such methods is a way to compute distortion for each DCT coefficient. In this paper, we present three different ways to compute distortion and search for parameters, where proposed functions show the best results. BCH-based method has been used as a tool for data hiding. Experimental results show that the presented distortion functions with the best parameters show better results compared to traditional approaches.

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Author information

Authors and Affiliations

  1. Center of Information Security Technologies, Catholic University of Korea, Korea

    Vasily Sachnev & Hyoung Joong Kim

  2. Graduate School of Information Security and Management, Korea University, Seoul, 136-701, Korea

    Vasily Sachnev & Hyoung Joong Kim

Authors
  1. Vasily Sachnev
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  2. Hyoung Joong Kim
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Editor information

Editors and Affiliations

  1. New Jersey Institute of Technology, Newark, NJ, USA

    Yun Q. Shi

  2. Multimedia Security Lab, Korea University, 136-701, Seoul, South Korea

    Hyoung-Joong Kim

  3. Signal Theory and Communications Department, University of Vigo, 36310, Vigo, Spain

    Fernando Pérez-González

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Sachnev, V., Kim, H.J. (2013). An Attempt to Generalize Distortion Measure for JPEG Steganography. In: Shi, Y.Q., Kim, HJ., Pérez-González, F. (eds) The International Workshop on Digital Forensics and Watermarking 2012. IWDW 2012. Lecture Notes in Computer Science, vol 7809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40099-5_7

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  • DOI: https://doi.org/10.1007/978-3-642-40099-5_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40098-8

  • Online ISBN: 978-3-642-40099-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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