An Adaptive and Secure Holographic Image Watermarking Scheme

Area of Science:

• Digital Image Processing
• Information Security
• Cryptography

Background:

• Digital watermarking is crucial for copyright protection and data integrity.
• Existing methods often face challenges in balancing imperceptibility, robustness, and security.
• The sharp frequency localized contourlet transform (SFLCT) offers advantages in image analysis and feature extraction.

Purpose of the Study:

• To develop a novel adaptive secure holographic image watermarking method.
• To enhance the security and robustness of digital watermarking.
• To improve the imperceptibility of embedded watermarks.

Main Methods:

• A secure binary computer-generated hologram (CGH) watermark is created using sine logistic and logistic maps.
• The CGH watermark is embedded into SFLCT coefficients via Schur decomposition.
• Adaptive embedding positions are selected using entropy and edge entropy for optimal imperceptibility and robustness.

Main Results:

• The proposed method demonstrates superior imperceptibility and robustness compared to existing schemes.
• Experimental results confirm the watermarking scheme's security, invisibility, and strong resistance to various attacks.
• The use of an encrypted hologram significantly increases the key space and system security.

Conclusions:

• The novel adaptive secure holographic image watermarking method in the SFLCT domain offers a significant advancement.
• The technique provides a secure, invisible, and robust solution for digital image protection.
• This approach effectively addresses the limitations of current watermarking techniques.