Speckle spatial correlations aiding optical transmission matrix retrieval: the smoothed Gerchberg–Saxton single-iteration algorithm
The estimation of the transmission matrix of a disordered medium is a challenging problem
in disordered photonics. Usually, its reconstruction relies on a complex inversion that aims at …
in disordered photonics. Usually, its reconstruction relies on a complex inversion that aims at …
Interferometric transmission probing with coded mutual intensity
We introduce a new interferometric imaging methodology that we term interferometry with
coded mutual intensity, which allows selectively imaging photon paths based on attributes …
coded mutual intensity, which allows selectively imaging photon paths based on attributes …
Understanding multi-layered transmission matrices
A Levin, M Alterman - ar** the propagation of light from one end of the tissue to the
other, form an important mathematical tool in the analysis of tissue scattering and the design …
other, form an important mathematical tool in the analysis of tissue scattering and the design …
Phase retrieval using expectation consistent signal recovery algorithm based on hypernetwork
Phase retrieval (PR) is an important component in modern computational imaging systems.
Recent advances in deep learning have introduced new possibilities for a robust and fast …
Recent advances in deep learning have introduced new possibilities for a robust and fast …
Subwavelength imaging using a solid-immersion diffractive optical processor
Phase imaging is widely used in biomedical imaging, sensing, and material
characterization, among other fields. However, direct imaging of phase objects with …
characterization, among other fields. However, direct imaging of phase objects with …
Speckle Pattern Calculation and Scattering Imaging for General Surface Scattering Problem
DY Ji, B Zhang, ZG Wang, MJ Sun - ACS Photonics, 2024 - ACS Publications
Establishing accurate models for light scattering has attracted widespread attention in
optical research. Existing works include the linear system model and the Lambertian model …
optical research. Existing works include the linear system model and the Lambertian model …
Towards practical single-shot phase retrieval with physics-driven deep neural network
Phase retrieval (PR), a long-established challenge for recovering a complex-valued signal
from its Fourier intensity-only measurements, has attracted considerable attention due to its …
from its Fourier intensity-only measurements, has attracted considerable attention due to its …
Deep S3PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models
This paper introduces and solves the simultaneous source separation and phase retrieval (S
3 PR) problem. S 3 PR is an important but largely unsolved problem in a number application …
3 PR) problem. S 3 PR is an important but largely unsolved problem in a number application …
Decentralized expectation consistent signal recovery for phase retrieval
In this study, we present a phase retrieval solution that aims to recover signals from noisy
phaseless measurements. A recently proposed scheme known as generalized expectation …
phaseless measurements. A recently proposed scheme known as generalized expectation …
Total least squares phase retrieval
We address the phase retrieval problem with errors in the sensing vectors. A number of
recent methods for phase retrieval are based on least squares (LS) formulations which …
recent methods for phase retrieval are based on least squares (LS) formulations which …