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Advanced Optical Materials, EarlyView.This work augments two‐photon polymerization with point‐wise dose control, enabling structures with heterogeneous material properties such as refractive index. An open source toolbox and superior calibration methodology for the refractive index pave the way for bio‐mimicking or numerically optimized structure designs, and enhance the synergy between 3D
Michał Ziemczonok, Koen Vanmol
wiley +1 more source
Sub‐Diffraction and Irreversibly Tunable Imaging With Potato Starch Lenses
Advanced Optical Materials, EarlyView.Native potato starch granules function as sustainable birefringent microlenses that enable polarization‐controlled conventional and vortex lensing via spin‐to‐orbital angular momentum conversion. They provide sub‐diffraction and spiral‐contrast imaging, support vortex‐array generation with controllable topological‐charge sign, exhibit irreversible ...
Petr Bouchal +5 more
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Phase Retrieval: Uniqueness and Stability [PDF]
SIAM Review, 2020 The problem of phase retrieval, i.e., the problem of recovering a function from the magnitudes of its Fourier transform, naturally arises in various fields of physics, such as astronomy, radar, speech recognition, quantum mechanics and, perhaps most prominently, diffraction imaging.
Philipp Grohs, Martin Rathmair
exaly +5 more sources
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Deep phase retrieval: Analyzing over-parameterization in phase retrieval
Signal Processing, 2021Abstract Phase retrieval aims to recover the phase of a complex-valued signal from magnitude measurements. Recently, approaches based on non-convex optimization which solve the phase retrieval problem directly using gradient descent methods have become more and more popular.
Qi Yu +4 more
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IEEE Transactions on Acoustics, Speech, and Signal Processing, 1987
A direct, noniterative approach to retrieving a multidimensional complex image (i.e., its phase can vary from pixel to pixel) from the magnitude of its Fourier transform is developed. The uniqueness of the reconstruction is shown to be a direct consequence of the existence of zero surfaces or sheets in the multidimensional z transforms of the image ...
Richard G. Lane +2 more
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A direct, noniterative approach to retrieving a multidimensional complex image (i.e., its phase can vary from pixel to pixel) from the magnitude of its Fourier transform is developed. The uniqueness of the reconstruction is shown to be a direct consequence of the existence of zero surfaces or sheets in the multidimensional z transforms of the image ...
Richard G. Lane +2 more
openaire +1 more source
Topical Meeting On Signal Recovery and Synthesis II, 1986
In this review an overview will be given of the state-of-the-art in phase retrieval (PR). PR occurs in many different areas of signal processing: - in imaging, where the image only yields the modulus of the wavefunction in the image plane, while for the reconstruction of the object we also need its phase - in speckle interferometry where we obtain the ...
openaire +3 more sources
In this review an overview will be given of the state-of-the-art in phase retrieval (PR). PR occurs in many different areas of signal processing: - in imaging, where the image only yields the modulus of the wavefunction in the image plane, while for the reconstruction of the object we also need its phase - in speckle interferometry where we obtain the ...
openaire +3 more sources
The phase diversity and the phase retrieval
SPIE Proceedings, 2015Measuring optical wave-fronts precisely is a difficult task because detectors directly sense intensity, not phase. The most common method of measuring the phase uses an interferometer that creates an intensity distribution from which the phase of the field can be determined more easily.
Xinxue Ma, Jianli Wang
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Empirical Studies on Phase Retrieval
2018 IEEE 13th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2018In phase retrieval, the signal is recovered from magnitude data that can be collected in various ways, ranging from the Fourier transform to general linear transform. Through experimental observation, we address the questions: (1) which sampling method, given the number of measurements versus signal size, best recovers the underlying signal?
Russell Hart, Huibin Chang, Yifei Lou
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Polarimetric Fourier Phase Retrieval
SIAM Journal on Imaging ScienceszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Julien Flamant +3 more
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Fast compressive phase retrieval
2015 49th Asilomar Conference on Signals, Systems and Computers, 2015Compressive Phase Retrieval refers to the problem of recovering an unknown sparse signal, upto a global phase constant, given only a small number of phaseless (or magnitude) measurements. This problem occurs in several areas of science - such as optics, astronomy and X-ray crystallography - where the underlying physics of the problem is such that we ...
Aditya Viswanathan, Mark A. Iwen
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