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(PDF) Phase retrieval algorithms: A personal tour [Invited]

    https://www.researchgate.net/publication/234070078_Phase_retrieval_algorithms_A_personal_tour_Invited
    This paper gives the reader a personal tour through the field of phase retrieval and related works that lead up to or cited the paper "Phase Retrieval Algorithms: a Comparison," [Appl. Opt.21 ...Author: James R. Fienup

OSA Phase retrieval algorithms: a personal tour [Invited]

    https://www.osapublishing.org/ao/abstract.cfm?uri=ao-52-1-45
    This paper gives the reader a personal tour through the field of phase retrieval and related works that lead up to or cited the paper “Phase Retrieval Algorithms: a Comparison,” [Appl. Opt.21, 2758 (1982)].

Phase retrieval - Wikipedia

    https://en.wikipedia.org/wiki/Phase_retrieval
    Phase retrieval is a key component of coherent diffraction imaging (CDI). In CDI, the intensity of the diffraction pattern scattered from a target is measured. The phase of the diffraction pattern is then obtained using phase retrieval algorithms and an image of the target is constructed.

Fienup Research Group – Phase Retrieval & Imaging Science ...

    https://labsites.rochester.edu/fienup/
    Phase retrieval algorithms can be used to reconstruct fine-resolution images of satellites and astronomical objects, despite the blurring effects of atmospheric turbulence. Telescopes having sparse apertures or are made up of an array of multiple smaller telescopes can give fine resolution images, while having large savings on size and weight.

A generalization for optimized phase retrieval algorithms

    https://jila.colorado.edu/kmlabs/sites/default/files/pdf/oe-20-22-24778.pdf
    Fienup, “Phase retrieval algorithms: a comparison,” Appl. Opt. 21, 2758–2769 (1982). 16. R. Gerchberg and W. O. Saxton, “Phase determination from Image and diffraction plane pictures in the electron microscope,” Optik 34, 275–283 (1971). 17. R. Gerchberg, “A practical algorithm for the determination of phase from image and ...Cited by: 11

Phase retrieval algorithms: a comparison

    http://www.u.arizona.edu/~ppoon/AO82_PRComparison.pdf
    Iterative algorithms for phase retrieval from intensity data are compared to gradient search methods. Both the problem of phase retrieval from two intensity measurements (in electron microscopy or wave front sens-ing) and the problem of phase retrieval from a single intensity measurement plus a non-negativity constraint

An improved ptychographical phase retrieval algorithm for ...

    http://xrm.phys.northwestern.edu/research/pdf_papers/2009/maiden_ultramic_2009.pdf
    Phase retrieval Ptychography Diffractive imaging abstract The ptychographical iterative engine (or PIE) is a recently developed phase retrieval algorithm that employs a series of diffraction patterns recorded as a known illumination function is translated to a set of overlapping positions relative to a target sample.

Jianwei Miao, and Mordechai Segev Phase Retrieval with ...

    http://webee.technion.ac.il/Sites/People/YoninaEldar/journals/170_Phase%20Retrieval%20with%20Application.pdf
    of phase-retrieval algorithms for the specific application of CDI were written by Marchesini [9], Thibault and Elser [25], and Nugent [26]. Presently, one of the most challenging problems in CDI is three-dimensional (3-D) structural determination of large protein mole-cules [6]. There has been ongoing progress toward this goal over the

OSA Beam characterization by phase retrieval solving the ...

    https://www.osapublishing.org/oe/abstract.cfm?uri=oe-28-14-20898
    J. R. Fienup, “Phase retrieval algorithms: a personal tour [invited],” Appl. Opt. 52(1), 45–56 (2013). [Crossref] B. Boehme and H. Gross, “Characterization of complex optical systems based on wavefront retrieval from point spread function,” in Optical Systems Design2005, vol. 5965 (SPIE).

Fourier Phase Retrieval: Uniqueness and Algorithms

    https://arxiv.org/pdf/1705.09590.pdf
    phase retrieval [30, 69] and has several interesting special cases, such as the short-time Fourier transform (STFT) phase retrieval [22, 45, 71] and vecto-rial phase retrieval [82, 102, 103, 104]. For all aforementioned setups, we present algorithms and discuss their properties. We also study the closely–

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