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Improving PSNR and computational efficiency in orthogonal ghost imaging
Kobra Hassanzadeh1,2, Sohrab Ahmadi-Kandjani3,4,5, Reza Kheradmand1,2,6
1Faculty of Physics, University of Tabriz, Tabriz, Iran.
Scientific Reports
|May 9, 2025
Summary
This study introduces an orthogonal ghost imaging (OGI) method using 2D-DCT patterns, enhancing image quality and speed. The novel approach achieves high-fidelity reconstruction with fewer measurements, outperforming traditional ghost imaging techniques.
Area of Science:
- Optics and Photonics
- Computational Imaging
- Signal Processing
Background:
- Traditional ghost imaging often relies on random or sinusoidal patterns, which can limit reconstruction fidelity and efficiency.
- Environmental noise can degrade the performance of existing ghost imaging systems.
- There is a need for improved ghost imaging techniques that offer higher quality, faster reconstruction, and reduced computational cost.
Purpose of the Study:
- To introduce a novel orthogonal ghost imaging (OGI) method utilizing two-dimensional discrete cosine transform (2D-DCT) patterns.
- To enhance image quality, reconstruction speed, and computational efficiency compared to existing ghost imaging approaches.
- To demonstrate the effectiveness of OGI with reduced sampling rates and noise reduction techniques.
Main Methods:
- Development of an orthogonal ghost imaging (OGI) method employing structured two-dimensional discrete cosine transform (2D-DCT) patterns.
- Derivation of a new reconstruction formula tailored for the OGI method.
- Implementation of a phase-shift illumination pattern technique for environmental noise reduction.
Main Results:
- The proposed OGI method demonstrates superior reconstruction fidelity and computational efficiency over random and sinusoidal pattern-based ghost imaging.
- High-quality image reconstruction is achieved even with significantly reduced sampling rates (e.g., 30% of measurements meeting Shannon entropy predictions).
- The OGI technique consistently outperforms differential and sinusoidal ghost imaging in signal-to-noise ratio (SNR) and reconstruction efficiency.
Conclusions:
- The orthogonal ghost imaging (OGI) method based on 2D-DCT patterns offers a significant advancement in ghost imaging technology.
- The technique provides a promising direction for developing efficient, high-fidelity, and low-cost ghost imaging systems.
- The OGI method effectively addresses limitations of traditional approaches, particularly in terms of speed, quality, and data requirements.
