Megapixel adaptive optics

Wang, Congli; Fu, Qiang; Xiong, Deping; Heidrich, Wolfgang

doi:10.1145/3197517.3201299

Cited by 10 publications

(4 citation statements)

References 67 publications

(52 reference statements)

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“…For slope tracking sensors, due to mm level distance z, wavefront resolution is fundamentally limited as in Fig. 3, and hence we suggest classical slope tracking sensors be applicable to large-scale smooth aberrations, e.g., large-scale adaptive optics [42] and autorefraction metrology [43]. If higher resolution is desired, possible workarounds are scanning optics [44,45] for ptychography, combining spatial light modulators for computational sensing [46] beyond simple optics, or using numerical propagation based inversion [47,48].…”

Section: Discussionmentioning

confidence: 99%

Modeling classical wavefront sensors

Wang

Xiong

et al. 2020

Opt. Express

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We present an image formation model for deterministic phase retrieval in propagationbased wavefront sensing, unifying analysis for classical wavefront sensors such as Shack-Hartmann (slopes tracking) and curvature sensors (based on Transport-of-Intensity Equation). We show how this model generalizes commonly seen formulas, including Transport-of-Intensity Equation, from small distances and beyond. Using this model, we analyze theoretically achievable lateral wavefront resolution in propagation-based deterministic wavefront sensing. Finally, via a prototype masked wavefront sensor, we show simultaneous bright field and phase imaging numerically recovered in real-time from a single-shot measurement.

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Section: Discussionmentioning

confidence: 99%

Modeling classical wavefront sensors

Wang

Xiong

et al. 2020

Opt. Express

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“…Its ability to handle nonsmooth and constrained problems and its fast convergence to an approximate solution makes it a popular choice for large‐scale optimization in various problem domains. In computer graphics, ADMM has been applied for geometry processing [BTP13, NVW∗13, ZDL∗14, XZZ∗14, NVT∗14], image processing [HDN∗16], computational photography [WFDH18], and physical simulation [GITH14, PM17, OBLN17]. It is well known that ADMM suffers from slow convergence to a high‐accuracy solution, and different strategies have been proposed in the past to speed up its convergence, e.g., using Nesterov's acceleration [GOSB14, KCSB15] or GMRES [ZW18].…”

Section: Related Workmentioning

confidence: 99%

Anderson Acceleration for Nonconvex ADMM Based on Douglas‐Rachford Splitting

Ouyang

Peng

Yao

et al. 2020

Computer Graphics Forum

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The alternating direction multiplier method (ADMM) is widely used in computer graphics for solving optimization problems that can be nonsmooth and nonconvex. It converges quickly to an approximate solution, but can take a long time to converge to a solution of high-accuracy. Previously, Anderson acceleration has been applied to ADMM, by treating it as a fixed-point iteration for the concatenation of the dual variables and a subset of the primal variables. In this paper, we note that the equivalence between ADMM and Douglas-Rachford splitting reveals that ADMM is in fact a fixed-point iteration in a lower-dimensional space. By applying Anderson acceleration to such lower-dimensional fixed-point iteration, we obtain a more effective approach for accelerating ADMM. We analyze the convergence of the proposed acceleration method on nonconvex problems, and verify its effectiveness on a variety of computer graphics including geometry processing and physical simulation.

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“…Liquid crystal on silicon (LCoS) technology has been developed for adaptive optics, metrology, telecommunications, quantum physics, displays, , etc. LCoS has its unique advantages because it can achieve comprehensive optimization of performance in terms of cost, display performance, power consumption, and screen size. − This technology is based on integrated circuit technology and requires highly integrated circuits and display devices.…”

Section: Introductionmentioning

confidence: 99%

Accurate Phase Modulation Scheme in a Micropixel Liquid Crystal on Silicon with Multiple Polymer Walls

Chu

Guo

Zhang

et al. 2023

ACS Appl. Opt. Mater.

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In the micropixel liquid crystal on silicon (LCoS), the fringe electric field seriously affects the phase modulation accuracy of the adjacent pixels. In this paper, we propose an accurate phase modulation scheme in micropixel LCoS with multiple polymer walls. The multiple polymer walls are fabricated between aluminum (Al) electrodes to block the crosstalk of the fringe electric field between adjacent pixel arrays and reduce the change of liquid crystal (LC) molecular inclination angle. Therefore, the phase can be accurately controlled by the driving voltage. The change in LC molecular inclination angle in the edge of the driving Al electrode is simulated, and the improvement effect of the multiple polymer walls on light leakage is also analyzed. The simulation results show that the change in the LC molecular inclination angle and light leakage in the edge of the driving Al electrodes can be ignored. In addition, we also fabricate the multiple polymer walls in the LC cell, which are made of a photoresist on the oriented glass substrate. The experimental results indicate that the LC cell with multiple polymer walls shows good bright and dark states, which proves that the phase can be accurately adjusted.

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Megapixel adaptive optics

Cited by 10 publications

References 67 publications

Modeling classical wavefront sensors

Modeling classical wavefront sensors

Anderson Acceleration for Nonconvex ADMM Based on Douglas‐Rachford Splitting

Accurate Phase Modulation Scheme in a Micropixel Liquid Crystal on Silicon with Multiple Polymer Walls

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