-The three-dimensional (3D) polygonal meshes are recently widely used in several domains, which necessitate the realistic visualization of the objects. Moreover, there is an urgent need to protect the 3D data properties for preventing unauthorized reproduction. The 3D digital watermarking technology is one of the best solutions to protect data from piracy during transmission through the internet. The current work proposed a novel robust watermarking scheme of polygonal meshes for copyright protection purposes. The proposed algorithm is based on the characteristics of the mesh geometry to embed a sequence of data bits into the object by slightly adjusting the vertex positions. Furthermore, the proposed method used a blind detection scheme. The watermarked model is perceptually indistinguishable from the original one and the embedded watermark is invariant to affine transformation. Through simulations, the quality of the watermarked object as well as the inserted watermark robustness against various types of attacks were tested and evaluated to prove the validity and the efficiency of our algorithm.
The three-dimensional (3D) mesh is moderately novel media type that realizes a rising success in various applications through data transfer via the Internet, which requires security approaches. Technological copyright protection of digital contents has become a challenging task in the current digital epoch. In this work, a robust watermarking algorithm of polygonal meshes for copyright protection purposes is proposed. The watermark insertion was achieved by quantization of the vertex norms variance in order to insert the watermark bits. In addition, this method is based on a blind detection scheme, so the watermark can be extracted without referring to the original mesh. The experimental results established the quality of the watermarked object as well as the inserted watermark robustness against various types of attacks, which were evaluated to prove the validity of the proposed algorithm. The results proved the proposed method efficiency in terms of robustness and imperceptibility against several signal processing distortions. A comparison with other reported method with similar purposes is also provided. The comparison depicted the outstanding robustness of the proposed method compared to the other reported method.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.