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International Conference on Intelligent Computing

ICIC 2012: Emerging Intelligent Computing Technology and Applications pp 416–421Cite as

Enhanced Steganographic Capacity Using Morphing Technique

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 304))

Abstract

This paper proposes an efficient steganography algorithm which modifies the original F5 algorithm to increase its data hiding capacity. The proposed algorithm uses morphing based technique to embed the message in the same cover image. It embeds message securely and achieves higher embedding efficiency in comparison to the F5 algorithm. The results show that for the test images under consideration, it results up to 80% more embedding capacity as compared to original algorithm for the same cover image.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, 208 016, India

    Saiful Islam & Phalguni Gupta

  2. Department of Electronics Engineering, Aligarh Muslim University, Aligarh, 202 002, India

    Ekram Khan

Authors
  1. Saiful Islam
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  2. Ekram Khan
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  3. Phalguni Gupta
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Editor information

Editors and Affiliations

  1. Machine Learning and Systems Biology Laboratory, School of Electronics and Information Engineering, Tongji University, Shanghai, China

    De-Shuang Huang

  2. Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, 208016, Kanpur, India

    Phalguni Gupta

  3. Department of Chemistry, University of Louisville, 2320 South Brook Street, 40292, Louisville, Kentucky, USA

    Xiang Zhang

  4. School of Electrical, Computer & Telecommunications Engineering, The University of Wollongong,, 2522, North Wollongong, NSW, Australia

    Prashan Premaratne

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Islam, S., Khan, E., Gupta, P. (2012). Enhanced Steganographic Capacity Using Morphing Technique. In: Huang, DS., Gupta, P., Zhang, X., Premaratne, P. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2012. Communications in Computer and Information Science, vol 304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31837-5_60

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  • DOI: https://doi.org/10.1007/978-3-642-31837-5_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31836-8

  • Online ISBN: 978-3-642-31837-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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