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Updated: Mar 18, 2026

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

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Non-diffractive computational ghost imaging.

D B Phillips, Ruiqing He, Qian Chen

|July 14, 2016

Summary

This summary is machine-generated.

Computational ghost imaging (CGI) uses pseudo non-diffracting speckle patterns to achieve an extended depth-of-field and enhanced resolution. This technique allows for tailored point-spread functions in imaging systems.

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Area of Science:

Optics
Computational Imaging
Image Reconstruction

Background:

Computational ghost imaging (CGI) reconstructs images using a single-pixel detector and known intensity patterns.
Conventional speckle patterns have limitations in depth-of-field and resolution.

Purpose of the Study:

Investigate the performance of CGI utilizing pseudo non-diffracting (ND) speckle patterns.
Explore the potential for enhanced depth-of-field and lateral resolution in CGI.

Main Methods:

Employed pseudo non-diffracting (ND) speckle patterns in computational ghost imaging.
Analyzed the point-spread function (PSF) characteristics, specifically Bessel beam formation.
Evaluated speckle grain size and its impact on image resolution.

Main Results:

Achieved an extended depth-of-field approximately 2-3 times greater than conventional speckle.
Reduced average speckle grain size by a factor of ~1.5, enhancing lateral resolution.
Observed a trade-off between depth-of-field enhancement and lateral resolution, with reduced image contrast.

Conclusions:

Tailoring lateral and axial correlations in projected intensity patterns enables point-spread function (PSF) engineering in CGI.
ND speckle patterns offer significant advantages for depth-of-field and resolution in ghost imaging.
The study highlights the potential for optimizing CGI performance through pattern design.