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Lossless Data Hiding for High Embedding Capacity

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4317))

Abstract

Embedding distortions create problems in some areas such as medical, astronomical, and military imagery. Lossless data hiding is an exact restoration approach for recovering the original image from the stego image. In this paper, we present a lossless data embedding technique with a higher embedding capacity. We propose two lossless data embedding methods; first, a part of the unusable groups U is changed into the usable groups. Secondly, a discrimination function f is modified to improve the embedding capacity, and we are changed the value of an accumulating block in order to improve the embedding capacity. We provide experimental results to demonstrate the effectiveness of our proposed algorithm.

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© 2006 Springer-Verlag Berlin Heidelberg

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Lee, H., Rhee, K. (2006). Lossless Data Hiding for High Embedding Capacity. In: Madria, S.K., Claypool, K.T., Kannan, R., Uppuluri, P., Gore, M.M. (eds) Distributed Computing and Internet Technology. ICDCIT 2006. Lecture Notes in Computer Science, vol 4317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11951957_37

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  • DOI: https://doi.org/10.1007/11951957_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68379-7

  • Online ISBN: 978-3-540-68380-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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