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Adaptive Watermarking Algorithm of Color Images of Ancient Documents on YIQ-PCA Color Space

  • Conference paper
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International Joint Conference (CISIS 2015)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 369))

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Abstract

Ancient documents present a very precious cultural heritage, hence the need to preserve and protect it and fight against illegal copying and pirating in its numerical form. The watermarking presents a promising solution for the copyright protection of these documents. Considering the importance in the number of color images, we propose in this paper a watermarking approach of color images from ancient documents, which adapts to the characteristics and content of each image. It is also based on the principal component analysis, the wavelet packet decomposition, and the singular value decomposition. The recorded results have shown that our algorithm has a good invisibility and an excellent robustness against different attacks relative to ancient documents.

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Author information

Authors and Affiliations

  1. UR: SAGE, National Engineering School of Sousse, University of Sousse, Sousse, Tunisia

    Mohamed Neji Maatouk & Najoua Essoukri Ben Amara

Authors
  1. Mohamed Neji Maatouk
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  2. Najoua Essoukri Ben Amara
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Corresponding author

Correspondence to Mohamed Neji Maatouk .

Editor information

Editors and Affiliations

  1. Department of Civil Engineering, Escuela Politécnica Superior, University of Burgos, Burgos, Spain

    Álvaro Herrero

  2. Department of Civil Engineering, Escuela Politécnica Superior, University of Burgos, Burgos, Spain

    Bruno Baruque

  3. Technological Institute of Castilla y León, Burgos, Spain

    Javier Sedano

  4. University of Salamanca, Salamanca, Spain

    Héctor Quintián

  5. Plaza de la Merced S/N, University of Salamanca, Salamanca, Spain

    Emilio Corchado

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© 2015 Springer International Publishing Switzerland

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Maatouk, M.N., Amara, N.E.B. (2015). Adaptive Watermarking Algorithm of Color Images of Ancient Documents on YIQ-PCA Color Space. In: Herrero, Á., Baruque, B., Sedano, J., Quintián, H., Corchado, E. (eds) International Joint Conference. CISIS 2015. Advances in Intelligent Systems and Computing, vol 369. Springer, Cham. https://doi.org/10.1007/978-3-319-19713-5_7

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  • DOI: https://doi.org/10.1007/978-3-319-19713-5_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19712-8

  • Online ISBN: 978-3-319-19713-5

  • eBook Packages: EngineeringEngineering (R0)

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