Wavefront sensing for a Shack–Hartmann sensor using phase retrieval based on a sequence of intensity patterns

Yazdani, Roghayeh; Fallah, Hossein

doi:10.1364/ao.56.001358

Cited by 15 publications

(3 citation statements)

References 22 publications

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“…The phase recovery algorithm is used to reconstruct complex field information from the light intensity diffraction pattern. Because of its importance in many applications,including 3D reconstruction, wavefront sensing [7,8], and superresolution imaging [9,10].…”

Section: Introductionmentioning

confidence: 99%

Phase recovery based on support constraint and random binary amplitude modulation ptychography principle

Yang,

sun,

hui

et al. 2023

AOPC 2023: Computing Imaging Technology

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This article simulates a study on a phase recovery technique that combines triangular aperture illumination as a supporting constraint and partially overlapped random binary amplitude modulation. Inspired by the concept of ptychography, a random binary amplitude mask is designed with partially transparent regions that overlap each other randomly. The overlapping regions of the amplitude modulation mask impose a strong constraint on the coherence of the light field, similar to the overlap constraint in ptychography. Moreover, the redundant information brought by the overlapping binary masks can improve the reconstruction accuracy, and the triangular aperture constraint enables faster convergence in the method. Compared with the original binary amplitude modulation method, this constraint leads to higher convergence accuracy and speed in the iterative algorithm.

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Section: Introductionmentioning

confidence: 99%

Phase recovery based on support constraint and random binary amplitude modulation ptychography principle

Yang,

sun,

hui

et al. 2023

AOPC 2023: Computing Imaging Technology

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show abstract

“…They have all improved in various ways upon the original method especially in terms of convergence speed and lowering the risk of the iterative technique getting stuck in local minima. In particular, methods based on single-beam multiple-intensity reconstruction (SBMIR) [4][5][6][7][8][9], are quite successful. Unlike the original Gerchberg-Saxton method, which uses only two intensity measurements as input, the SBMIR techniques use more than two intensity measurements as inputs, thus basing the retrieval on a larger set of information and greatly aiding the convergence rate and fidelity (defined in the theory section) of the result.…”

Section: Introductionmentioning

confidence: 99%

Practical, open source, GPU-accelerated, high-fidelity phase retrieval by simultaneous propagations

Jamal

Hansen

2020

Appl. Opt.

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Phase retrieval is a highly useful technique that allows the calculation of the complex electric field of a beam of spatially coherent radiation based only on recordings of intensity profiles with a camera. In this work, we demonstrate a new technique for single-beam multiple-intensity phase retrieval based on simultaneous propagations that provides improved fidelity results compared to standard methods (0.9931 compared to 0.9646) and a 34 dB reduction in background noise level. The implementation is fast, open-source, user-friendly, can be run on either CPUs or GPUs and is available for download at https://gitlab.gbar.dtu.dk/biophotonics/PhaseRetrieval.

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“…These displacements yield information about the mean local phase slope of the incoming field at each lenslet position, which, in turn, can be used to reconstruct the total phase [16]. It has been shown that the accuracy of phase reconstruction in a SHS can be improved by employing an iterative phase retrieval algorithm [17][18][19] or an optimization algorithm [20,21]. The use of these algorithms in the SHS avoids the paraxial approximation and the calculation of local phase slope, and increases the dynamic range of sensor.…”

Section: Introductionmentioning

confidence: 99%

Phase reconstruction of two interfering fields using a lenslet array and an optimization method

Yazdani¹,

Fallah²

2019

J. Opt.

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In this paper, a lenslet array is applied to simultaneously reconstruct the unknown phases of two interfering fields from intensity data. Recorded intensity patterns at the lenslet array plane and at the focal plane of the lenslet array are used in the stochastic parallel gradient descent algorithm for reconstruction. The lenslet array assures a fast-convergence and non-stagnating phase retrieval. Numerical simulations are presented to validate the proposed method. The obtained results show that the method permits a robust and accurate phase reconstruction and exhibits a high immunity to noise.

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Wavefront sensing for a Shack–Hartmann sensor using phase retrieval based on a sequence of intensity patterns

Cited by 15 publications

References 22 publications

Phase recovery based on support constraint and random binary amplitude modulation ptychography principle

Phase recovery based on support constraint and random binary amplitude modulation ptychography principle

Practical, open source, GPU-accelerated, high-fidelity phase retrieval by simultaneous propagations

Phase reconstruction of two interfering fields using a lenslet array and an optimization method

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