Lossless 3D steganography based on MST and connectivity modification
Autor: | Jean-Pierre Pedeboy, Sébastien Druon, William Puech, Philippe Amat |
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Přispěvatelé: | Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Image & Interaction (ICAR), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Interactive Digital Humans (IDH), Stratégies S.A. [Rungis] |
Rok vydání: | 2010 |
Předmět: |
Lossless compression
Theoretical computer science Steganography 020207 software engineering 02 engineering and technology Minimum spanning tree Object (computer science) Information protection policy Data hiding Steganography Watermarking 3D triangular mesh Quadruple Graph scanning [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] Information hiding Signal Processing 0202 electrical engineering electronic engineering information engineering Embedding 020201 artificial intelligence & image processing Computer Vision and Pattern Recognition Electrical and Electronic Engineering Digital watermarking Software Mathematics |
Zdroj: | Signal Processing: Image Communication Signal Processing: Image Communication, Elsevier, 2010, 25 (6), pp.400-412 HAL |
ISSN: | 0923-5965 1879-2677 |
DOI: | 10.1016/j.image.2010.05.002 |
Popis: | International audience; Data hiding has become increasingly important for many applications, like confidential transmission, video surveillance, military and medical applications. In this paper we present a new approach of 3D object data hiding without changing the position of vertices in the 3D space. The main idea of the proposed method is to find and to synchronize particular areas of the 3D objects used to embed the message. The embedding is carried out by changing the connectivity of edges in the selected areas composed of quadruples. The proposed approach of data hiding in 3D objects is based on minimum spanning tree (MST). This method is lossless in the sense that the positions of the vertices are remaining the same before and after embedding. Moreover the method is blind and does not depend of the order of the data in the files. This approach is very interesting when the 3D objects have been digitalized with high precision. |
Databáze: | OpenAIRE |
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