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A Method to Improve the Stego-Image Quality for Palette-Based Image Steganography

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Digital Watermarking (IWDW 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2939))

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Abstract

This article presents a method of palette-based image steganography that minimizes the RMS error between an original image and its stego-image. The proposed method is based on a palette modification scheme, which can iteratively embed one message bit into each pixel in a palette-based image. In each iteration, both the cost of removing a entry color in a palette and the benefit of generating a new one to replace it are calculated. If the maximal benefit exceeds the minimal cost, an entry color is replaced. Experimental results show that the proposed method can remarkably reduce the distortion of the carrier images (stego-images) to other palette-based methods.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan, R.O.C.

    Mei-Yi Wu & Yu-Kun Ho

  2. Department of Information Management, Kun Shan University of Technology, Tainan, Taiwan, R.O.C.

    Jia-Hong Lee

Authors
  1. Mei-Yi Wu
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  2. Yu-Kun Ho
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  3. Jia-Hong Lee
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Editor information

Editors and Affiliations

  1. Hewlett-Packard Laboratories, Palo Alto, CA, USA

    Ton Kalker

  2. University College, London, Torrington Place, UK

    Ingemar Cox

  3. IVY Lab., Information and Communication University (ICU), 119, Munjiro, Yuseong-gu, 305-714, Deajeon, Korea

    Yong Man Ro

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© 2004 Springer-Verlag Berlin Heidelberg

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Wu, MY., Ho, YK., Lee, JH. (2004). A Method to Improve the Stego-Image Quality for Palette-Based Image Steganography. In: Kalker, T., Cox, I., Ro, Y.M. (eds) Digital Watermarking. IWDW 2003. Lecture Notes in Computer Science, vol 2939. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24624-4_39

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  • DOI: https://doi.org/10.1007/978-3-540-24624-4_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21061-0

  • Online ISBN: 978-3-540-24624-4

  • eBook Packages: Springer Book Archive

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