6533b7d7fe1ef96bd1268e3a

RESEARCH PRODUCT

Blind Robust 3-D Mesh Watermarking Based on Mesh Saliency and QIM Quantization for Copyright Protection

Aladine ChetouaniMohamed El HazitiAnd Hocine CherifiMohammed El HassouniMohamed Hamidi

subject

business.industryComputer scienceWatermark robustness[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingData_MISCELLANEOUS[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineeringQuantization index modulationWatermark02 engineering and technologyVertex (geometry)[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligencebusinessQuantization (image processing)Digital watermarkingSmoothingComputingMilieux_MISCELLANEOUS

description

International audience; Due to the recent demand of 3-D models in several applications like medical imaging, video games, among others, the necessity of implementing 3-D mesh watermarking schemes aiming to protect copyright has increased considerably. The majority of robust 3-D watermark-ing techniques have essentially focused on the robustness against attacks while the imperceptibility of these techniques is still a real issue. In this context, a blind robust 3-D mesh watermarking method based on mesh saliency and Quantization Index Modulation (QIM) for Copyright protection is proposed. The watermark is embedded by quantifying the vertex norms of the 3-D mesh using QIM scheme since it offers a good robustness-capacity tradeoff. The choice of the vertices is adjusted by the mesh saliency to achieve watermark robustness and to avoid visual distortions. The experimental results show the high imperceptibility of the proposed scheme while ensuring a good robustness against a wide range of attacks including additive noise, similarity transformations, smoothing , quantization, etc.

https://hal-univ-orleans.archives-ouvertes.fr/hal-02384206