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Index LOCO-I: A Hybrid Method of Data Hiding and Image Compression

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3683))

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Abstract

This paper proposes an approach for the combined data hiding scheme with LOCO-I/JPEG-LS image compression algorithm. We present a new embedded image coder and investigate the lossless and near-lossless performance of these transforms in the propose coder. We will present our proposed encoder/decoder scheme of SNR scalability layer. Our scheme has brought a tremendous improvement on providing progressive transmission with JPEG-LS. By modifying lossless predictive coding techniques, near-lossless coding based on predictive in conjunction with data hiding, and plus a partially layer scheme.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National Sun Yat-Sen University, NO.70 Lien-hai Rd., Kaohsiung, 804, Taiwan, R.O.C.

    Wei-Soul Li, Wen-Shyong Hsieh & Ming-Hong Sun

  2. Department of Computer Science and Information Engineering, Shu Te University, Kaohsiung, 824, Taiwan, R.O.C.

    Wen-Shyong Hsieh

Authors
  1. Wei-Soul Li
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  2. Wen-Shyong Hsieh
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  3. Ming-Hong Sun
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Li, WS., Hsieh, WS., Sun, MH. (2005). Index LOCO-I: A Hybrid Method of Data Hiding and Image Compression. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_66

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  • DOI: https://doi.org/10.1007/11553939_66

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28896-1

  • Online ISBN: 978-3-540-31990-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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