Image synthesis from nonimaged laser-speckle patterns: experimental verification

Idell, Paul S.; Gonglewski, John D.; Voelz, David G.; Knopp, Jerome

doi:10.1364/ol.14.000154

Cited by 30 publications

(7 citation statements)

References 6 publications

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“…It is in principle possible to retrieve the image of the object obscured by scattering media as the information is not completely lost. Indeed, it has been demonstrated that a speckle pattern propagated through clear space contains enough information to reconstruct the image of an object [5]. Recently, a variety of approaches have been demonstrated to solve this problem, such as time-of-flight imaging [6], time reversal or phase conjugation [7][8][9][10][11][12][13][14], transmission matrix measurement [15][16][17][18], wavefront shaping technique [19][20][21][22][23], digital holography [24][25][26][27], speckle auto-correlation method [28][29][30][31][32][33][34], and other speckle correlation methods [35,36].…”

Section: Introductionmentioning

confidence: 99%

Imaging objects through scattering layers and around corners by retrieval of the scattered point spread function

Xu¹,

Xie²,

He³

et al. 2017

Opt. Express

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Abstract:We demonstrate a high-speed method to image objects through thin scattering media and around corners. The method employs a reference object of known shape to retrieve the speckle-like point spread function of the scatterer. We extract the point spread function of the scatterer from a dynamic scene that includes a static reference object and uses this to image the dynamic objects. Sharp images are reconstructed from the transmission through a diffuser and from the reflection off a rough surface. The sharp and clean reconstructed images from single shot data exemplify the robustness of the method.

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Section: Introductionmentioning

confidence: 99%

Imaging objects through scattering layers and around corners by retrieval of the scattered point spread function

Xu¹,

Xie²,

He³

et al. 2017

Opt. Express

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“…It is focused by the lens set (2). Using the light guides (3) the radiation is inserted to modulator (4) with output 2 13 proportional to the input intensity.…”

Section: Processing Of the 3-dimensional Object Speckle-patternsmentioning

confidence: 99%

<title>Application of diffraction speckle patterns for recovery of image</title>

Seryikh

1995

SPIE Proceedings

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We present the investigation results of object imaging with non-plane surface by processing an ensemble of statistical independent diffraction patterns and phase problem solution. The limits of applicability of the correlography method are established. The new specide patterns processing algorithm for image reconstruction of the 3-dimension object having considerable depth is formulated. The conditions for application of this method are obtained so. The results ofcomputer simulation are presented.

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“…To obtain a Fourier magnitude estimate that is acceptable for reconstructing the object, in practical applications a large amount of speckle-intensity images is required. Moreover, the estimated Fourier modulus is noisy and loses a lot of high-frequency information, which makes it difficult for the phase retrieval algorithm to converge on the optimal global value [7,8]. In recent years, Thurin et al used imaging correlography for high-resolution retinal imaging to overcome ocular aberrations [9].…”

Section: Introductionmentioning

confidence: 99%

“…In some cases, the atmospheric turbulence effect is not strong enough to provide sufficient signal flux at the camera face. The independent patterns of the observed speckle intensity can be measured by translating the detector or rotating the object [2,3,7,8,29]. These measurements can also be achieved by directly illuminating the object with the speckle pattern, which is proposed in previous work [10].…”

Section: Introductionmentioning

confidence: 99%

“…These measurements can also be achieved by directly illuminating the object with the speckle pattern, which is proposed in previous work [10]. Reconstructing images from astronomical speckle data is analogous to recovering images from speckle patterns as one rotates the object [8]. In both cases, the recorded speckle data can be processed to obtain an estimate of the Fourier magnitude of the object.…”

Section: Introductionmentioning

confidence: 99%

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Imaging Correlography Using Ptychography

Wen

Song

et al. 2019

Applied Sciences

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Imaging correlography, an effective method for long-distance imaging, recovers an object using only the knowledge of the Fourier modulus, without needing phase information. It is not sensitive to atmospheric turbulence or optical imperfections. However, the unreliability of traditional phase retrieval algorithms in imaging correlography has hindered their development. In this work, we join imaging correlography and ptychography together to overcome such obstacles. Instead of detecting the whole object, the object is measured part-by-part with a probe moving in a ptychographic way. A flexible optimization framework is proposed to reconstruct the object rapidly and reliably within a few iterations. In addition, novel image space denoising regularization is plugged into the loss function to reduce the effects of input noise and improve the perceptual quality of the recovered image. Experiments demonstrate that four-fold resolution gains are achievable for the proposed imaging method. We can obtain satisfactory results for both visual and quantitative metrics with one-sixth of the measurements in the conventional imaging correlography. Therefore, the proposed imaging technique is more suitable for long-range practical applications.

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Image synthesis from nonimaged laser-speckle patterns: experimental verification

Cited by 30 publications

References 6 publications

Imaging objects through scattering layers and around corners by retrieval of the scattered point spread function

Imaging objects through scattering layers and around corners by retrieval of the scattered point spread function

<title>Application of diffraction speckle patterns for recovery of image</title>

Imaging Correlography Using Ptychography

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