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Attainment of Diffraction Limited Resolution in Large Telescopes by Fourier Analysing Speckle Patterns in Star Images

Antoine Labeyrie
- 01 May 1970 - 
- Vol. 6, pp 85
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This article is published in Astronomy and Astrophysics.The article was published on 1970-05-01 and is currently open access. It has received 644 citations till now. The article focuses on the topics: Speckle imaging & Speckle pattern.

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Journal ArticleDOI

Phase retrieval algorithms: a comparison.

TL;DR: Iterative algorithms for phase retrieval from intensity data are compared to gradient search methods and it is shown that both the error-reduction algorithm for the problem of a single intensity measurement and the Gerchberg-Saxton algorithm forThe problem of two intensity measurements converge.
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Reconstruction of an object from the modulus of its Fourier transform.

TL;DR: A digital method for solving the phase-retrieval problem of optical-coherence theory: the reconstruction of a general object from the modulus of its Fourier transform, which should be useful for obtaining high-resolution imagery from interferometer data.
Book ChapterDOI

V The Effects of Atmospheric Turbulence in Optical Astronomy

TL;DR: In this article, the authors discuss the effects of atmospheric turbulence in optical astronomy, summarizes the present state of the theory, reviews the experimental checks that have been made, and discusses the implications in the domain of astronomical observations.
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Non-invasive single-shot imaging through scattering layers and around corners via speckle correlations

TL;DR: In this article, a single high-resolution image of the scattered light, captured with a standard camera, encodes sufficient information to image through visually opaque layers and around corners with diffraction-limited resolution.
Journal ArticleDOI

Phase Retrieval with Application to Optical Imaging: A contemporary overview

TL;DR: The goal is to describe the current state of the art in this area, identify challenges, and suggest future directions and areas where signal processing methods can have a large impact on optical imaging and on the world of imaging at large.
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