6533b839fe1ef96bd12a5a83

RESEARCH PRODUCT

A robust blind 3-D mesh watermarking based on wavelet transform for copyright protection

Driss AboutajdineMohamed El HazitiMohamed HamidiHocine Cherifi

subject

FOS: Computer and information sciences0209 industrial biotechnologyComputer sciencevideo watermarking02 engineering and technologyWatermarkingimage watermarking020901 industrial engineering & automationWaveletcopy protectionvectorsRobustness (computer science)Computer Science::Multimedia0202 electrical engineering electronic engineering information engineeringwavelet coefficient vectorsControlled IndexingComputer visionPolygon meshQuantization (image processing)RobustnessDigital watermarkingComputingMilieux_MISCELLANEOUSComputer Science::Cryptography and SecurityQuantization (signal)digital watermarkingbusiness.industrycopyrightedge normal normsWavelet transformunauthorized usersWatermarkThree-dimensional meshesMultimedia (cs.MM)mesh generationwavelet transformssynchronizing primitives3D semiregular meshesSolid modelingrobust blind 3D mesh watermarking020201 artificial intelligence & image processingArtificial intelligenceLaplacian smoothingbusinessCopyright protection[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingComputer Science - Multimediaimage resolutionDigital images

description

Nowadays, three-dimensional meshes have been extensively used in several applications such as, industrial, medical, computer-aided design (CAD) and entertainment due to the processing capability improvement of computers and the development of the network infrastructure. Unfortunately, like digital images and videos, 3-D meshes can be easily modified, duplicated and redistributed by unauthorized users. Digital watermarking came up while trying to solve this problem. In this paper, we propose a blind robust watermarking scheme for three-dimensional semiregular meshes for Copyright protection. The watermark is embedded by modifying the norm of the wavelet coefficient vectors associated with the lowest resolution level using the edge normal norms as synchronizing primitives. The experimental results show that in comparison with alternative 3-D mesh watermarking approaches, the proposed method can resist to a wide range of common attacks, such as similarity transformations including translation, rotation, uniform scaling and their combination, noise addition, Laplacian smoothing, quantization, while preserving high imperceptibility.

10.1109/atsip.2017.8075525https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01859170