Ghost tomography

Kingston, Andrew; Pelliccia, Daniele; Rack, Alexander; Olbinado, Margie P.; Cheng, Yin; Myers, Glenn R.; Paganin, David M.

doi:10.1364/optica.5.001516

Cited by 70 publications

(51 citation statements)

References 27 publications

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“…The image can be formed without a lens (lensless ghost imaging) [6][7][8] or only by using a single-pixel detector (computational ghost imaging, CGI) [9][10][11]. Due to the underlying physics and potential applications in many fields, including lidar [12], tomography [13], and medical imaging [14][15][16], GI has attracted much attention in recent years [17][18][19][20][21][22]. It has also been extended to different domains with certain freedoms of correlation, including atomic domain [23,24], time domain [25][26][27], and spiral imaging [28,29].…”

Section: Introductionmentioning

confidence: 99%

Instant ghost imaging: algorithm and on-chip implementation

Yang¹,

Zhang²,

Liu³

et al. 2020

Opt. Express

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Ghost imaging (GI) is an imaging technique that uses the correlation between two light beams to reconstruct the image of an object. Conventional GI algorithms require large memory space to store the measured data and perform complicated offline calculations, limiting practical applications of GI. Here we develop an instant ghost imaging (IGI) technique with a differential algorithm and an implemented high-speed on-chip IGI hardware system. This algorithm uses the signal between consecutive temporal measurements to reduce the memory requirements without degradation of image quality compared with conventional GI algorithms. The on-chip IGI system can immediately reconstruct the image once the measurement finishes; there is no need to rely on post-processing or offline reconstruction. This system can be developed into a realtime imaging system. These features make IGI a faster, cheaper, and more compact alternative to a conventional GI system and make it viable for practical applications of GI.

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Section: Introductionmentioning

confidence: 99%

Instant ghost imaging: algorithm and on-chip implementation

Yang¹,

Zhang²,

Liu³

et al. 2020

Opt. Express

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“…X-ray ghost imaging has now been demonstrated multiple times [10][11][12][13][14][15][16][17]; however, it is still a developing field. One commonly used technique for current X-ray ghost imaging is to introduce a spatially varied material to produce a "speckle" pattern in the X-ray beam.…”

Section: Introductionmentioning

confidence: 99%

Two-photon X-ray ghost microscope

Smith¹,

Wang²,

Shih³

2020

Opt. Express

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Unlike classic imaging devices in the visible spectrum, there are no effective imaging lenses to produce the point-to-point image-forming function for high-energy (short-wavelength) X rays. The X-ray imaging that we are familiar with more closely resembles a projection or "shadow" of the object rather than a point-to-point image. Here, we present an imaging mechanism that produces true point-to-point imaging of X rays through the measurement of two-photon interference intensity fluctuation correlation, which allows for a table-top X-ray microscope by means of a magnified secondary ghost image. In principle, once some experimental barriers are overcome, this X-ray "ghost microscope" may achieve nanometer spatial resolution and open up new capabilities that would be of interest to the fields of physics, material science, and medical imaging.

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“…Then, many methods was proposed to improve the imaging quality, including compressive GI [10], differential GI [11], pseudo-inverse GI [12,13] and so on [14][15][16][17]. Especially, compressive GI can achieve the high-quality reconstruction image under undersampling [10], which promotes the practical application of GI technology [18][19][20][21][22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Edge detection based on joint iteration ghost imaging

et al. 2019

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Imaging and edge detection have been widely applied and played an important role in security checking and medical diagnosis. However, as we know, most edge detection based on ghost imaging system require a large measurement times and the target object image cannot be provided directly. In this work, a new edge detection based on joint iteration of projected Landweber iteration regularization and guided filter ghost imaging method have been proposed which can be improved the feature detection quality in ghost imaging. This method can also achieve high quality imaging. Simulation and experiment results show that the spatial information and edge information of target object are successfully recovered from the random speckle patterns without special coding under a low measurement times, and the edge image quality is improved remarkably. This approach improves the the applicability of ghost imaging, and can satisfy the practical application fields of imaging and edge detection at the same time.

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Ghost tomography

Cited by 70 publications

References 27 publications

Instant ghost imaging: algorithm and on-chip implementation

Instant ghost imaging: algorithm and on-chip implementation

Two-photon X-ray ghost microscope

Edge detection based on joint iteration ghost imaging

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