Zero-Watermarking for Vector Maps Combining Spatial and Frequency Domain Based on Constrained Delaunay Triangulation...

Area of Science:

• Computer Science
• Digital Image Processing
• Information Security

Background:

• Vector map copyright protection is crucial.
• Existing zero-watermarking methods are vulnerable to cropping and lack comprehensive robustness.
• Need for advanced watermarking techniques for vector map data integrity.

Purpose of the Study:

• To develop a robust zero-watermarking scheme for vector maps.
• To enhance resistance against cropping and compression attacks.
• To improve the security and robustness of vector map copyright protection.

Main Methods:

• Feature point extraction and point constraint blocking for vector maps.
• Construction of constraint Delaunay triangulation networks (CDTN) for spatial statistics.
• Discrete Fourier Transform (DFT) for frequency domain analysis and watermark generation.

Main Results:

• The proposed scheme demonstrates high robustness against geometric attacks, cropping, and coordinate system transformations.
• Identifiable copyright images were restored after various attack simulations.
• The method effectively balances robustness and security for vector map zero-watermarking.

Conclusions:

• The developed zero-watermarking scheme offers superior robustness for vector map copyright protection.
• The combination of CDTN and DFT provides a stable and invariant theoretical basis.
• The proposed method is a valid and effective solution for securing digital vector map data.