Survey: 3D watermarking techniques

In today’s world, 3D multimedia data is widely utilized in diverse fields such as military, medical, and remote sensing. The advancement of multimedia technologies, however, exposes 3D multimedia content to an increasing risk of malicious interventions. It has become highly essential to implement security measures ensuring the authenticity and copyright protection of 3D multimedia content. Watermarking is considered one of the most reliable and practical approaches for this purpose. This work provides an in-depth and up-to-date overview of various 3D watermarking methods, covering different data forms, including 3D images, 3D videos, 3D meshes, point clouds, and NeRF. We have categorized these methods from multiple perspectives, comparing their respective advantages and disadvantages. The study also identifies attacks based on data type and discusses metrics for evaluating the methods according to their intended use and data type. We further present observations, research issues, challenges, and future directions for 3D watermarking. This includes strength factor optimization, copyright concerns related to 3D printed objects, detection and recovery of tampered areas, and watermarking in 4D (3D Dynamic) and NeRF domains. • Focused on different types of 3D watermarking methods, including 3D image, 3D video, 3D mesh, and point cloud. • Classification of 3D watermarking methods according to distortion, robustness, and data type. • Categorization of evaluation metrics according to usage purpose and the data type. • Remarking the specific watermarking algorithms. • Discussion about the challenges and future direction of watermarking such as NeRF, 4D.

Authors

Publication Details

Journal
Journal of Visual Communication and Image Representation
Published
2025-08-27
DOI
https://doi.org/10.1016/j.jvcir.2025.104572
Primary Topic
Advanced Steganography and Watermarking Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Survey: 3D watermarking techniques

Gary K.L. Tam, Ertuğrul Gül
Journal of Visual Communication and Image Representation
Advanced Steganography and Watermarking Techniques
article

Survey: 3D watermarking techniques

Gary K.L. Tam, Ertuğrul Gül
article en

Abstract

In today’s world, 3D multimedia data is widely utilized in diverse fields such as military, medical, and remote sensing. The advancement of multimedia technologies, however, exposes 3D multimedia content to an increasing risk of malicious interventions. It has become highly essential to implement security measures ensuring the authenticity and copyright protection of 3D multimedia content. Watermarking is considered one of the most reliable and practical approaches for this purpose. This work provides an in-depth and up-to-date overview of various 3D watermarking methods, covering different data forms, including 3D images, 3D videos, 3D meshes, point clouds, and NeRF. We have categorized these methods from multiple perspectives, comparing their respective advantages and disadvantages. The study also identifies attacks based on data type and discusses metrics for evaluating the methods according to their intended use and data type. We further present observations, research issues, challenges, and future directions for 3D watermarking. This includes strength factor optimization, copyright concerns related to 3D printed objects, detection and recovery of tampered areas, and watermarking in 4D (3D Dynamic) and NeRF domains. • Focused on different types of 3D watermarking methods, including 3D image, 3D video, 3D mesh, and point cloud. • Classification of 3D watermarking methods according to distortion, robustness, and data type. • Categorization of evaluation metrics according to usage purpose and the data type. • Remarking the specific watermarking algorithms. • Discussion about the challenges and future direction of watermarking such as NeRF, 4D.

Journal of Visual Communication and Image RepresentationVol. 112
Royal Society, Swansea University, Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Openalex Percentile: Top 78%
Advanced Steganography and Watermarking Techniques
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