WebB. 2D Phase Retrieval We now turn to discuss the 2D phase retrieval problem. In this case our unknown is an N× real matrix X. We assume we are given the magnitude-square of the 2D Fourier transform Y = F M,NXFT M,N 2. Our problem can then be written as find X subject to vec (Y)= F M,N⊗ M,N)vec X 2, (10) where WebVideo Moment Retrieval via Hierarchical Uncertainty-based Active Learning ... Solving 3D Inverse Problems from Pre-trained 2D Diffusion Models Hyungjin Chung · Dohoon Ryu · Michael McCann · Marc Klasky · Jong Ye ... Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detection
Compressive phase retrieval via complex constrained total …
WebVideo Moment Retrieval via Hierarchical Uncertainty-based Active Learning ... Solving 3D Inverse Problems from Pre-trained 2D Diffusion Models Hyungjin Chung · Dohoon Ryu · … 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 … the princess pub primrose hill
1058 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 65, NO.
Webbottlenecks of phase retrieval in optical imaging, followed by an outlook for the upcoming years and long term vision. A. Non-Fourier Measurements The simplest optical phase retrieval problem assumes that the measured data corresponds to the Fourier magnitude. In optical settings, this means that the measurements are taken Web1 de out. de 2024 · The method we present in this paper is an adoption of a fast direct solver for the phase retrieval problem as it was developed by Iwen et al. in , . The modifications we introduce, i.e., reconstruction using a different basis and different windows, as described in Section 2.1 , allow us to apply the algorithm to practical data and also improve the … 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 … the princess prodigy sofia the first