Advance hybrid medical watermarking algorithm using speeded up robust features and discrete cosine transform

Area of Science:

• Computer Science
• Information Security
• Digital Image Processing

Background:

• Digitization facilitates information sharing but raises concerns about copyright infringement and piracy.
• Digital watermarking is crucial for protecting multimedia content rights.
• Robustness against geometric attacks is a key challenge in watermarking algorithms.

Purpose of the Study:

• To propose a novel, robust blind watermarking algorithm.
• To enhance the security and copyright protection of digital images.
• To improve resistance against geometric and conventional attacks.

Main Methods:

• Developed a blind watermarking algorithm based on SURF-DCT perceptual hashing.
• Preprocessed watermark images using affine transformation and chaotic encryption.
• Embedded watermarks by modifying Discrete Cosine Transform (DCT) coefficients of carrier images.

Main Results:

• The algorithm demonstrated good invisibility.
• Achieved strong robustness against conventional and geometric attacks.
• Effectively protected image security with a high Normalized Correlation (NC) value (>90%).

Conclusions:

• The proposed SURF-DCT watermarking algorithm offers effective copyright protection.
• The method provides robust security for digital images in multimedia environments.
• This approach addresses the need for enhanced anti-geometric attack capabilities in digital watermarking.