Correlation Engine 2.0
Clear Search sequence regions


  • algorithms (1)
  • copyright (3)
  • transform (1)
  • Sizes of these terms reflect their relevance to your search.

    In this paper, we propose a novel model for 3D object watermarking. The proposed method is based on the properties of the discrete cosine transform (DCT) of the 3D object vertices to embed a secret grayscale image three times. The watermarking process takes place by using the vertices coefficients and the encrypted image pixels. Moreover, the extraction process is totally blind based on the reverse steps of the embedding process to recover the secret grayscale image. Various performance aspects of the method are measured and compared between the original 3D object and the watermarked one using Euclidean distance, Manhattan distance, cosine distance, and correlation distance. The obtained results show that the proposed model provides better performances in terms of execution time and invisibility. Copyright © 2021 Hanan S. Al-Saadi et al.

    Citation

    Hanan S Al-Saadi, A Ghareeb, Ahmed Elhadad. A Blind Watermarking Model of the 3D Object and the Polygonal Mesh Objects for Securing Copyright. Computational intelligence and neuroscience. 2021;2021:1392903

    Expand section icon Mesh Tags


    PMID: 34887910

    View Full Text