62 citations · 146 across the 13 of their papers we have counts for
13 papers
A Fast Minimization Algorithm for the Euler Elastica Model Based on a Bilinear Decomposition
Zhifang Liu, Baochen Sun, Xue-Cheng Tai +2
The Euler Elastica (EE) model with surface curvature can generate artifact-free results compared with the traditional total variation regularization model in image processing. Howe…
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…
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…
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…
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)…
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…
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…
Advanced Denoising for X-ray Ptychography
Huibin Chang, Pablo Enfedaque, Jie Zhang +7
The success of ptychographic imaging experiments strongly depends on achieving high signal-to-noise ratio. This is particularly important in nanoscale imaging experiments when diff…
Blind Ptychographic Phase Retrieval via Convergent Alternating Direction Method of Multipliers
Huibin Chang, Pable Enfedaque, Stefano Marchesini
Ptychography has risen as a reference X-ray imaging technique: it achieves resolutions of one billionth of a meter, macroscopic field of view, or the capability to retrieve chemica…
Partially Coherent Ptychography by Gradient Decomposition of the Probe
Huibin Chang, Pablo Enfedaque, Yifei Lou +1
Coherent ptychographic imaging experiments often discard over 99.9 % of the flux from a light source to define the coherence of an illumination. Even when coherent flux is sufficie…
Denoising Poisson Phaseless Measurements via Orthogonal Dictionary Learning
Huibin Chang, Stefano Marchesini
Phaseless diffraction measurements recorded by a CCD detector are often affected by Poisson noise. In this paper, we propose a dictionary learning model by employing patches based…
-regularized Variational Methods for Sparse Phase Retrieval
Yuping Duan, Chunlin Wu, Zhi-Feng Pang +1
We study the problem of recovering the underlining sparse signals from clean or noisy phaseless measurements. Due to the sparse prior of signals, we adopt an L0regularized variatio…
A general framework for denoising phaseless diffraction measurements
Huibin Chang, Stefano Marchesini
We propose a general framework to recover underlying images from noisy phaseless diffraction measurements based on the alternating directional method of multipliers and the plug-an…