Complex-valued retrievals from noisy images using diffusion models
In diverse microscopy modalities, sensors measure only real-valued intensities. Additionally,
the sensor readouts are affected by Poissonian-distributed photon noise. Traditional …
the sensor readouts are affected by Poissonian-distributed photon noise. Traditional …
RED-PSM: Regularization by denoising of partially separable models for dynamic imaging
B Iskender, ML Klasky… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Dynamic imaging involves the recovery of a time-varying 2D or 3D object at each time
instant using its undersampled measurements. In particular, in dynamic tomography, only a …
instant using its undersampled measurements. In particular, in dynamic tomography, only a …
Untrained neural network embedded Fourier phase retrieval from few measurements
L Ma, H Wang, N Leng, Z Yuan - Signal Processing, 2024 - Elsevier
Fourier phase retrieval (FPR) is a challenging task used in various applications to recover
an unknown signal from its Fourier phaseless measurements. FPR with few measurements …
an unknown signal from its Fourier phaseless measurements. FPR with few measurements …
Untrained neural network embedded Fourier phase retrieval from few measurements
L Ma, H Wang, N Leng, Z Yuan - arXiv preprint arXiv:2307.08717, 2023 - arxiv.org
Fourier phase retrieval (FPR) is a challenging task widely used in various applications. It
involves recovering an unknown signal from its Fourier phaseless measurements. FPR with …
involves recovering an unknown signal from its Fourier phaseless measurements. FPR with …
RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging
Dynamic imaging addresses the recovery of a time-varying 2D or 3D object at each time
instant using its undersampled measurements. In particular, in the case of dynamic …
instant using its undersampled measurements. In particular, in the case of dynamic …
Deep Denoising Prior-Based Spectral Estimation for Phaseless Synthetic Aperture Radar
Incoherent processing for synthetic aperture radar (SAR) is a promising approach that
enables low implementation costs, simplified hardware designs and operations in high …
enables low implementation costs, simplified hardware designs and operations in high …
Deep Phaseless Imaging via Wirtinger Flow with Decoding Prior
We introduce a deep learning (DL) based network for imaging from intensity-only
measurements using low dimensional encoded representations. Phaseless imaging …
measurements using low dimensional encoded representations. Phaseless imaging …
Deep Learning and Optimization Based Interferometric and Phaseless Imaging
SB Kazemi - 2023 - search.proquest.com
Interferometric imaging involves reconstructing an image from the cross-correlations of the
scattered waves reflected from the illuminated medium. Phaseless imaging on the other …
scattered waves reflected from the illuminated medium. Phaseless imaging on the other …