A Robust Blind 3-D Mesh Watermarking Technique Based on SCS Quantization and Mesh Saliency for Copyright Protection
Autor: | Mohammed El Hassouni, Hocine Cherifi, Aladine Chetouani, Mohamed El Haziti, Mohamed Hamidi |
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Přispěvatelé: | Chetouani, Aladine, LRIT Associated Unit to the CNRST-URAC n◦ 29, Laboratoire de Recherche Informatique et Télécommunications (LRIT), Université Mohammed V de Rabat [Agdal]-Centre National de la Recherche Scientifique et Technologique (CNRST)-Université Mohammed V de Rabat [Agdal]-Centre National de la Recherche Scientifique et Technologique (CNRST), Laboratoire pluridisciplinaire de recherche en ingénierie des systèmes, mécanique et énergétique (PRISME), Université d'Orléans (UO)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), Université Mohammed V de Rabat [Agdal], Université Mohammed V de Rabat [Agdal]-Centre National de la Recherche Scientifique et Technologique (CNRST), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
FOS: Computer and information sciences
Computer Science - Cryptography and Security Computer science [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing Quantization (signal processing) Data_MISCELLANEOUS 020207 software engineering Watermark 02 engineering and technology Graphics (cs.GR) Computer Science - Graphics [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing Computer engineering 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Polygon mesh Vertex normal Quantization (image processing) Digital watermarking Cryptography and Security (cs.CR) ComputingMilieux_MISCELLANEOUS Smoothing |
Zdroj: | Mobile, Secure, and Programmable Networking ISBN: 9783030228842 International Conference on Mobile, Secure, and Programmable Networking International Conference on Mobile, Secure, and Programmable Networking, 2019, Mohammedia, Morocco |
Popis: | Due to the recent demand of 3-D meshes in a wide range of applications such as video games, medical imaging, film special effect making, computer-aided design (CAD), among others, the necessity of implementing 3-D mesh watermarking schemes aiming to protect copyright has increased in the last decade. Nowadays, the majority of robust 3-D watermarking approaches have mainly focused on the robustness against attacks while the imperceptibility of these techniques is still a serious challenge. In this context, a blind robust 3-D mesh watermarking method based on mesh saliency and scalar Costa scheme (SCS) for Copyright protection is proposed. The watermark is embedded by quantifying the vertex norms of the 3-D mesh by SCS scheme using the vertex normal norms as synchronizing primitives. The choice of these vertices is based on 3-D mesh saliency to achieve watermark robustness while ensuring high imperceptibility. The experimental results show that in comparison with the alternative methods, the proposed work can achieve a high imperceptibility performance while ensuring a good robustness against several common attacks including similarity transformations, noise addition, quantization, smoothing, elements reordering, etc. Comment: 10 pages, 11 figures, 5th International Conference on Mobile, Secure and Programmable Networking (MSPN'2019) |
Databáze: | OpenAIRE |
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