Object authentication in computational ghost imaging with the realizations less than 5% of Nyquist limit

Area of Science:

• Optics and Photonics
• Computational Imaging
• Quantum Information Science

Background:

• Ghost imaging reconstructs objects using intensity fluctuation correlations.
• Traditional ghost imaging requires a large number of measurements (thousands) for object reconstruction.
• This limits practical applications due to data acquisition time and storage.

Purpose of the Study:

• To demonstrate object authentication in computational ghost imaging with a significantly reduced number of realizations.
• To validate the feasibility of verifying reconstructed objects using minimal data, below the Nyquist limit.
• To shift focus from high-fidelity reconstruction to reliable object authentication.

Main Methods:

• Utilizing computational ghost imaging principles.
• Employing a novel approach for object authentication rather than direct high-fidelity reconstruction.
• Analyzing object reconstruction with a minimal number of intensity fluctuation measurements (less than 5% of the Nyquist limit).

Main Results:

• Successful authentication of reconstructed objects using a drastically reduced number of realizations.
• Demonstrated that object verification is possible with significantly less data than previously thought necessary.
• The proposed method authenticates the object without needing to achieve high-fidelity reconstruction.

Conclusions:

• Object authentication in computational ghost imaging is achievable with minimal data.
• This method offers a new paradigm for ghost imaging, prioritizing verification over high-fidelity reconstruction.
• The findings pave the way for more efficient and practical ghost imaging applications.