activity
20182022
collaborators

8 papers

math.OC2022

Fast Iterative Algorithms for Blind Phase Retrieval: A survey

Huibin Chang, Li Yang, Stefano Marchesini

In nanoscale imaging technique and ultrafast laser, the reconstruction procedure is normally formulated as a blind phase retrieval (BPR) problem, where one has to recover both the…

math.NA2020

Overlapping Domain Decomposition Methods for Ptychographic Imaging

Huibin Chang, Roland Glowinski, Stefano Marchesini +3

In ptychography experiments, redundant scanning is usually required to guarantee the stable recovery, such that a huge amount of frames are generated, and thus it poses a great dem…

physics.optics2020

Analyzer Free Linear Dichroic Ptychography

Huibin Chang, Matthew A Marcus, Stefano Marchesini

Linear-dichroism is an important tool to characterize the transmission matrix and determine the crystal or orbital orientation in a material. In order to gain high resolution mappi…

math.OC2019

Bilinear Constraint based ADMM for Mixed Poisson-Gaussian Noise Removal

Jie Zhang, Yuping Duan, Yue Lu +2

In this paper, we propose new operator-splitting algorithms for the total variation regularized infimal convolution (TV-IC) model [4] in order to remove mixed Poisson-Gaussian(MPG)…

eess.IV2019

Iterative X-ray Spectroscopic Ptychography

Huibin Chang, Ziqin Rong, Pablo Enfedaque +1

Spectroscopic ptychography is a powerful technique to determine the chemical composition of a sample with high spatial resolution. In spectro-ptychography, a sample is rastered thr…

eess.IV2019

Iterative Joint Ptychography-Tomography with Total Variation Regularization

Huibin Chang, Pablo Enfedaque, Stefano Marchesini

In order to determine the 3D structure of a thick sample, researchers have recently combined ptychography (for high resolution) and tomography (for 3D imaging) in a single experime…