A Blind Watermarking Model of the 3D Object and the Polygonal Mesh Objects for Securing Copyright

Area of Science:

• Computer Science
• Digital Signal Processing

Background:

• 3D object watermarking is crucial for digital content protection.
• Existing methods may face challenges with efficiency and imperceptibility.

Purpose of the Study:

• To propose a novel and efficient blind watermarking model for 3D objects.
• To embed a secret grayscale image into 3D object vertices using DCT.

Main Methods:

• Utilizing the discrete cosine transform (DCT) properties of 3D object vertices.
• Embedding a secret grayscale image by correlating vertices coefficients and encrypted image pixels.
• Implementing a blind extraction process by reversing embedding steps.

Main Results:

• The proposed watermarking model demonstrates superior performance in execution time.
• The method achieves high invisibility, preserving the integrity of the 3D object.
• Performance evaluation using Euclidean, Manhattan, cosine, and correlation distances confirms effectiveness.

Conclusions:

• The novel DCT-based 3D object watermarking model offers an efficient and imperceptible solution.
• The blind extraction capability enhances practical applicability for 3D data security.