Non-diffractive computational ghost imaging

doi:10.1364/OE.24.014172

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Non-diffractive computational ghost imaging

2016-06-15

DOI：10.1364/OE.24.014172

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Abstract

En 中文

Computational ghost imaging (CGI) enables an image to be recorded using a single-pixel detector. The image can be reconstructed from correlations between the scene and a series of known projected intensity patterns. In this work we investigate the performance of CGI using pseudo non-diffracting (ND) speckle patterns. We demonstrate an extended depth-of-field that is similar to 2-3 times greater than that achievable with conventional speckle, when only computing each intensity pattern to a single depth. In addition, the average speckle grain size of ND speckle is reduced by a factor of similar to 1.5 relative to conventional speckle, which enhances the lateral Rayleigh-limit resolving power of our reconstructed images. However, the point-spread function (PSF) of our imaging system takes the form of a Bessel beam, which manifests itself as long-range correlations between speckle grains in the projected patterns. We discuss the trade-off between enhancement of the depth-of-field and the lateral resolution when using ND speckle, at the expense of a reduction in image contrast. Our work demonstrates that the tailoring of lateral and axial correlations in projected intensity patterns permits PSF engineering in CGI. Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License.

Keywords:

SINGLE-PIXEL DETECTORS

MULTIMODE FIBER

BEAMS

LIGHT

PATTERNS

ALGORITHMS