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Related Experiment Video

Updated: Jul 23, 2025

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

An optical multiple-image authentication based on computational ghost imaging and total-variation minimization.

Yaoling Zhou¹, Yueer Sun², Mu Yang³

¹School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, 710048, China.

|July 14, 2023

Summary

This summary is machine-generated.

This study introduces a novel optical multiple-image authentication method. It embeds image data into a cover image, ensuring high-quality recovery and enhanced security against eavesdropping.

Keywords:

Computational ghost imaging Multiple-image authentication Total-variation minimization

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Area of Science:

Optics and Photonics
Image Processing
Information Security

Background:

Conventional image authentication often involves direct encryption, making it susceptible to detection.
Embedding information discreetly within a cover image offers a more covert approach to authentication.

Purpose of the Study:

To develop a secure and robust optical multiple-image authentication system.
To embed multiple images into a cover image without drawing attention from potential eavesdroppers.

Main Methods:

Utilizing computational ghost imaging to encode multiple images into real-valued sequences.
Employing wavelet transform to decompose a cover image into sub-images for data embedding.
Implementing total-variation minimization for high-fidelity image recovery.
Enhancing security through chaotic sequence scrambling with a logistic map.

Main Results:

Successful embedding and recovery of multiple images with high quality.
Demonstrated robustness against potential eavesdropping attempts.
Validation of the proposed method through optical experiments.

Conclusions:

The proposed computational ghost imaging and total-variation minimization approach offers a secure and effective method for optical multiple-image authentication.
This technique provides a robust solution for covertly embedding and recovering image data, outperforming conventional methods.