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  The Influence of the Image Basis on Modeling and Steganalysis Performance

Schwamberger, V., Le, P., Schölkopf, B., & Franz, M. (2010). The Influence of the Image Basis on Modeling and Steganalysis Performance. In R. Böhme, P. Fong, & R. Safavi-Naini (Eds.), Information Hiding (pp. 133-144). Berlin, Germany: Springer.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-BFA6-5 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-81EA-4
Genre: Conference Paper

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 Creators:
Schwamberger, V1, 2, Author              
Le, PHD, Author
Schölkopf, B1, 2, Author              
Franz, MO, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: We compare two image bases with respect to their capabilities for image modeling and steganalysis. The first basis consists of wavelets, the second is a Laplacian pyramid. Both bases are used to decompose the image into subbands where the local dependency structure is modeled with a linear Bayesian estimator. Similar to existing approaches, the image model is used to predict coefficient values from their neighborhoods, and the final classification step uses statistical descriptors of the residual. Our findings are counter-intuitive on first sight: Although Laplacian pyramids have better image modeling capabilities than wavelets, steganalysis based on wavelets is much more successful. We present a number of experiments that suggest possible explanations for this result.

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 Dates: 2010-06
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/978-3-642-16435-4_11
BibTex Citekey: 6558
 Degree: -

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Title: 12th International Workshop on Information Hiding (IH 2010)
Place of Event: Calgary, AB, Canada
Start-/End Date: 2010-06-28 - 2010-06-30

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Title: Information Hiding
Source Genre: Proceedings
 Creator(s):
Böhme, R, Editor
Fong, PWL, Editor
Safavi-Naini, R, Editor
Affiliations:
-
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 133 - 144 Identifier: ISBN: 978-3-642-16435-4