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Phase Retrieval with Application to Optical Imaging: A contemporary overview

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Shechtman, Yoav, Eldar, Yonina C., Cohen, Oren, Chapman, Henry Nicholas, Miao, Jianwei, Segev, Mordechai·2015·IEEE Signal Processing Magazine

Abstract

The problem of phase retrieval, i.e., the recovery of a function given the magnitude of its Fourier transform, arises in various fields of science and engineering, including electron microscopy, crystallography, astronomy, and optical imaging. Exploring phase retrieval in optical settings, specifically when the light originates from a laser, is natural since optical detection devices [e.g., charge-coupled device (CCD) cameras, photosensitive films, and the human eye] cannot measure the phase of a light wave. This is because, generally, optical measurement devices that rely on converting photons to electrons (current) do not allow for direct recording of the phase: the electromagnetic field oscillates at rates of ~1015 Hz, which no electronic measurement device can follow. Indeed, optical measurement/detection systems measure the photon flux, which is proportional to the magnitude squared of the field, not the phase. Consequently, measuring the phase of optical waves (electromagnetic fields oscillating at 1015 Hz and higher) involves additional complexity, typically by requiring interference with another known field, in the process of holography.

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Metadata

Authors
Shechtman, Y., Eldar, Y. C., Cohen, O., Chapman, H. N., Miao, J., & Segev, M.
Venue
IEEE Signal Processing Magazine
Published
2015-05
Volume
32
Issue
3
Pages
87-109
ISSN
1053-5888 (ISSN-L)
OpenAlex
W2015911499
Cited by
1,131
References
3
FWCI
95.72
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Phase Retrieval with Application to Optical Imaging: A contemporary overview. https://app.cochat.ai/papers/10.1109/msp.2014.2352673
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Shechtman, Y., Eldar, Y. C., Cohen, O., Chapman, H. N., Miao, J., & Segev, M. (2015). Phase Retrieval with Application to Optical Imaging: A contemporary overview. IEEE Signal Processing Magazine. https://doi.org/10.1109/msp.2014.2352673

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