Abstract
In this paper, we address the problem of robust information embedding in digital data. Such a process is carried out by introducing modifications to the original data that one would like to keep minimal. It assumes that the data, which includes the embedded information, is corrupted before the extraction is carried out. We propose a principled way to tailor an efficient embedding process for given data and noise statistics.
Keywords
- Noise Model
- Noise Property
- Actual Noise
- Quantisation Point
- Embedding Process
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 2005 Springer-Verlag Berlin Heidelberg
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Bounkong, S., Toch, B., Saad, D. (2005). Optimal Embedding for Watermarking in Discrete Data Spaces. In: Barni, M., Herrera-Joancomartí, J., Katzenbeisser, S., Pérez-González, F. (eds) Information Hiding. IH 2005. Lecture Notes in Computer Science, vol 3727. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558859_7
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DOI: https://doi.org/10.1007/11558859_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29039-1
Online ISBN: 978-3-540-31481-3
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