Practical issues in wave-front sensing by use of phase diversity

Dolne, Jean J.; Tansey, Richard J.; Black, Katherine A.; Deville, Jana H.; Cunningham, Philip R.; Widen, Kenneth C.; Idell, Paul S.

doi:10.1364/ao.42.005284

Cited by 21 publications

(8 citation statements)

References 9 publications

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“…Regarding the diversity magnitude, a few studies can be found in the literature dealing with, for instance, an optimal defocus distance in the conventional PD [27][28][29]. However, less attention has been paid on how the multi-image PD will change the requirements for optimality and robustness.…”

Section: A Optimal Diversity Magnitude and Shapementioning

confidence: 99%

Joint optimization of phase diversity and adaptive optics: demonstration of potential

et al. 2011

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We study different possibilities to use adaptive optics (AO) and phase diversity (PD) together in a jointly optimized system. The potential of the joint system is demonstrated through numerical simulations. We find that the most significant benefits are obtained from the improved deconvolution of AO-corrected wavefronts and the additional wavefront sensor (WFS) information that reduces the computational demands of PD algorithms. When applied together, it is seen that the image error can be reduced by 20% compared to traditional PD, working with one focused and one defocused camera image, and the computational load is reduced by a factor of 20 compared to a more reliable PD algorithm requiring more camera images. In addition, we find that the system performance can be optimized by adjusting the magnitude of the applied diversity wavefronts.

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Section: A Optimal Diversity Magnitude and Shapementioning

confidence: 99%

Joint optimization of phase diversity and adaptive optics: demonstration of potential

et al. 2011

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“…In a conventional approach, the only method used to generate PD is to defocus the detector. In this case, the accuracy of the wavefront parameter is affected by the defocus distance 7,8 .…”

Section: Introductionmentioning

confidence: 99%

Image-based wavefront compensation using deformable mirror for remote sensing telescope

Miyamura

2013

SPIE Proceedings

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We are developing an adaptive optics system for earth observing remote sensing sensor. In this system, high spatial resolution has to be achieved by a lightweight sensor system to be used for small satellites. Moreover, simple hardware architecture has to be selected to achieve high reliability and low development cost. Image based AOS realize these requirements without wavefront sensor. In remote sensing, it is difficult to use a reference point source unless the satellite controls its attitude toward a star. We propose the control algorithm of the deformable mirror on the basis of two methods; model-based wavefront estimation method and direct optimization of acquired images. We described simulation results of the proposed methods.

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“…In a conventional approach, the only method to generate PDs is to defocus the detector; divide incoming light using a beam splitter, then guide one half of the beam to an in-focus image and the other to a defocused image. The accuracy of the wavefront parameter is affected by the defocus distance 7,8) . Because of the beam splitter, the light energy available for the focused image is lower, which decreases the signal-to-noise ratio of the system.…”

Section: Introductionmentioning

confidence: 99%

Laboratory Test Results for Adaptive Optics Using Image-based Wavefront Sensing for Remote Sensing

Miyamura

2012

AEROSPACE TECHNOLOGY JAPAN

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Remote sensing observations with high resolution and high signal-to-noise ratio require a large-aperture optical system. To achieve these requirements, we propose an adaptive optics system that compensates the wavefront aberration due to misalignment or thermal deformation of optical elements. We use an image-based wavefront sensing technique to realize simple hardware architecture and high signal-to-noise ratio. For image-based sensing, a priori information is required in addition to the acquired images, which was achieved in our case using a phase diversity (PD) wavefront sensing method. We apply PD using a liquid crystal on silicon spatial light modulator (LCOS-SLM). For remote sensing in which the observed scene is moving relative to the observer, we modify the conventional PD method to estimate the parallel shift between the obtained images. We construct an adaptive optics system testbed using LCOS-SLM and a CMOS camera. The laboratory test results show that the proposed system improves the optical performance of remote-sensing sensors.

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Practical issues in wave-front sensing by use of phase diversity

Cited by 21 publications

References 9 publications

Joint optimization of phase diversity and adaptive optics: demonstration of potential

Joint optimization of phase diversity and adaptive optics: demonstration of potential

Image-based wavefront compensation using deformable mirror for remote sensing telescope

Laboratory Test Results for Adaptive Optics Using Image-based Wavefront Sensing for Remote Sensing

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