2004
DOI: 10.1364/josaa.21.000697
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Investigation of the Cauchy–Riemann equations for one-dimensional image recovery in intensity interferometry

Abstract: A method of image recovery using noniterative phase retrieval is proposed and investigated by simulation. This method adapts the Cauchy-Riemann equations to evaluate derivatives of phase based on derivatives of magnitude. The noise sensitivity of the approach is reduced by employing a least-mean-squares fit. This method uses the analytic properties of the Fourier transform of an object, the magnitude of which is measured with an intensity interferometer. The solution exhibits the degree of nonuniqueness expect… Show more

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Cited by 38 publications
(47 citation statements)
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“…Methods specifically for intensity interferometry were worked out by Holmes et al (2004; for one and two dimensions, respectively. Once a sufficient coverage of the Fourier plane is available, phase recovery and imaging indeed become possible.…”
Section: Image Reconstruction From Second-order Coherencementioning
confidence: 99%
See 1 more Smart Citation
“…Methods specifically for intensity interferometry were worked out by Holmes et al (2004; for one and two dimensions, respectively. Once a sufficient coverage of the Fourier plane is available, phase recovery and imaging indeed become possible.…”
Section: Image Reconstruction From Second-order Coherencementioning
confidence: 99%
“…Some strategies that specialize in analyzing intensity interferometry data have been developed; e.g., Holmes & Belen'kii (2004); Nuñez et al (2012a), and consist in estimating Fourier phases from Fourier magnitudes. Since the Fourier transform of a finite object is an analytic function, the Cauchy-Riemann equations can be used to find derivatives of the phase from derivatives of the magnitude, producing images that are unique except for translation and reflection.…”
Section: Image Reconstructionmentioning
confidence: 99%
“…To recover the phase information, we can still use the amplitude itself thanks to the analycity of the discrete FT (see for instance Holmes & Belen'kii 2004, although an image flip degeneracy remains) or the high-order correlations (see for instance Zhilyaev 2008), but with the issue of even lower sensitivity. The correlator of an intensity interferometer is designed to measure the quantity…”
Section: The Second-order Correlation Functionmentioning
confidence: 99%
“…The many (tens and up) baselines will create a dense Fourier plane coverage in a single run, without the need to fit a model to the data. Phases could be recovered by one of the already known and somewhat redundant algorithms [7][8][9][10][11][12]. Imaging will be possible by having sufficient (u, v) coverage (see also §2.2).…”
Section: Off-line Multi-detector Intensity Interferometersmentioning
confidence: 99%
“…Since then, many other algorithms were proposed for the full reconstruction of the complex degree of coherence from amplitude-only measurements [7][8][9][10][11][12]. Classical two-detector intensity interferometry [1] was abandoned in the mid seventies due to its low sensitivity, and indeed higher-order correlations were never observed for astronomical sources.…”
Section: Introductionmentioning
confidence: 99%