Ecole d'ingénieur et centre de recherche en télécommunications

Steganography in 3D geometries and images by adjacent bin mapping

Wu, Haotian;Dugelay, Jean-Luc

EURASIP Journal on Information Security, Vol. 2009 (2009), Article ID 317165

    + algorithm. In order to prevent the detection using a metric named histogram tail, the hiding is performed in a+ algorithm on subsets of pixels having the same neighbor values. The experimental results pseudorandom order. Then we show that the steganalytic algorithms based on histogram characteristic function (HCF) can be prevented by implementing the LSB show that important high-order statistics of the cover image are preserved in this way while little distortion is introduced to 3D geometric models with an appropriate bin size.   A steganographic method called adjacent bin mapping (ABM) is presented. Firstly, it is applied to 3D geometries by mapping the coordinates within two adjacent bins for data embedding. When applied to digital images, it becomes a kind of LSB hiding, namely the LSB

Document Doi Bibtex

Type:Journal
Langue:English
Date:
Département:Communications Multimédia
Eurecom ref:2758
Copyright: © Hindawi. Personal use of this material is permitted. The definitive version of this paper was published in EURASIP Journal on Information Security, Vol. 2009 (2009), Article ID 317165 and is available at : http://dx.doi.org/10.1155/2009/317165
Bibtex: @article{EURECOM+2758, doi = {http://dx.doi.org/10.1155/2009/317165}, year = {2009}, month = {02}, title = {{S}teganography in 3{D} geometries and images by adjacent bin mapping}, author = {{W}u, {H}aotian and {D}ugelay, {J}ean-{L}uc }, journal = {{EURASIP} {J}ournal on {I}nformation {S}ecurity, {V}ol. 2009 (2009), {A}rticle {ID} 317165}, url = {http://www.eurecom.fr/publication/2758} }
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