Webliterature suggests that the sample requirement exceeds n>2d[14] and in high dimensional regimes this can be especially challenging, since the computational complexity is also proportional to nand d. Compressive phase retrieval (CPR) models use sparsity as a prior for reducing sample requirements; Web6 de jan. de 2016 · The use of a “window” 2D Hilbert transform for reconstruction of the phase distribution of remote objects is proposed. It is shown that the advantage of this approach consists in the invariance of a phase map to a change of the position of the kernel of transformation and in a possibility to reconstruct the structure-forming elements of the …

On the 2D Phase Retrieval Problem IEEE Transactions on Signal …

WebWe tackle the problem of recovering 2-D complex fields starting from the spectral amplitude data, the support of the source, and a few additional information. In particular, we further elaborate on our ‘crosswords-solution like’ approach where the solution is found by solving 1D problems and congruence arguments. Its argued that intersecating lines and circles … WebWe propose an efficient and novel architecture for 3D articulated human pose retrieval and reconstruction from 2D landmarks extracted from a 2D synthetic image, an annotated 2D image, an in-the-wild real RGB image or even a hand-drawn sketch. Given 2D joint positions in a single image, we devise a data-driven framework to infer the corresponding 3D … cycloplegics and mydriatics

On the 2D Phase Retrieval Problem - NASA/ADS

WebIterative phase retrieval for digital holography TATIANA LATYCHEVSKAIA, 1,2 1Physics Institute, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland 2Paul Scherrer Institut, Forschungsstrasse 111, 5232 Villigen, Switzerland *[email protected] Abstract: This paper provides a tutorial of iterative phase retrieval algorithms based on the Web27 de mai. de 2016 · It is shown that 2D phase retrieval can be cast as a 1D problem with additional constraints, which limit the solution space and it is proved that only one … Web9 de jan. de 2024 · The inverse problem of recovering the phase from an intensity image is known as phase retrieval [11,12,13,14,15,16]. Diffraction imaging has been used for X-ray imaging because imaging optics and highly coherent light sources that work in this spectral regime are difficult to fabricate [ 17 , 18 ]. cyclopithecus