Optical multiple-image authentication method based on Haar matrix based computational ghost imaging and l₁-l₂...

Area of Science:

• Computer Science
• Optics
• Image Processing

Background:

• Increasing digital content necessitates robust security and authenticity verification methods.
• Traditional image authentication methods struggle with data tampering and unauthorized access.
• Existing techniques often encrypt images directly, leading to noisy ciphertexts and reduced perceptibility.

Purpose of the Study:

• To propose an efficient and robust optical multiple-image authentication method.
• To improve the cognition and perceptibility of image authentication processes.
• To enhance information loading capacity and robustness against image processing.

Main Methods:

• Utilizes computational ghost imaging with Haar matrix-based illumination patterns.
• Composites and scrambles multiple images using space multiplexing, inverse Haar transform, and Arnold transform.
• Embeds sparse measurements derived from computational ghost imaging into high-frequency sub-images of carrier images using Haar wavelet transform.
• Employs Chen system for chaotic sequence generation and scrambling.
• Applies L1-L2 minimization for improved reconstruction quality during authentication.

Main Results:

• Successfully authenticates multiple images with high visual quality and robustness.
• Achieves successful authentication at a very low sampling ratio (2%).
• Demonstrates high robustness against sharpen filters.
• Expands information loading capability by embedding sparse measurements into high-frequency sub-images.

Conclusions:

• The proposed method offers a novel approach to optical multiple-image authentication.
• Embedding sparse measurements into high-frequency sub-images enhances security and robustness.
• The technique shows significant potential for practical applications in image verification systems.