activity
20162021
most citedFringe pattern analysis using deep learning

450 citations · 1.6k across the 20 of their papers we have counts for

collaborators

20 papers

cs.ET2021

High speed and reconfigurable optronic neural network with digital nonlinear activation

Qiuhao Wu, Jia Liu, Xiubao Sui +2

With its unique parallel processing capability, optical neural network has shown low-power consumption in image recognition and speech processing. At present, the manufacturing tec…

cs.CV2020

Multi-feature driven active contour segmentation model for infrared image with intensity inhomogeneity

Qinyan Huang, Weiwen Zhou, Minjie Wan +3

Infrared (IR) image segmentation is essential in many urban defence applications, such as pedestrian surveillance, vehicle counting, security monitoring, etc. Active contour model…

cs.CV2020

Infrared target tracking based on proximal robust principal component analysis method

Chao Ma, Guohua Gu, Xin Miao +4

Infrared target tracking plays an important role in both civil and military fields. The main challenges in designing a robust and high-precision tracker for infrared sequences incl…

eess.IV2020★ 208 cited

Deep-learning-enabled geometric constraints and phase unwrapping for single-shot absolute 3D shape measurement

Jiaming Qian, Shijie Feng, Tianyang Tao +4

Fringe projection profilometry (FPP) is one of the most popular three-dimensional (3D) shape measurement techniques, and has becoming more prevalently adopted in intelligent manufa…

eess.IV2019★ 168 cited

On a universal solution to the transport-of-intensity equation

Jialin Zhang, Qian Chen, Jiasong Sun +2

Transport-of-intensity equation (TIE) is one of the most well-known approaches for phase retrieval and quantitative phase imaging. It directly recovers the quantitative phase distr…

physics.optics2019★ 6 cited

Resolution analysis in a lens-free on-chip digital holographic microscope

Jialin Zhang, Jiasong Sun, Qian Chen +1

Lens-free on-chip digital holographic microscopy (LFOCDHM) is a modern imaging technique whereby the sample is placed directly onto or very close to the digital sensor, and illumin…

physics.optics2019★ 206 cited

Wide-field high-resolution 3D microscopy with Fourier ptychographic diffraction tomography

Chao Zuo, Jiasong Sun, Jiaji Li +2

We report a computational 3D microscopy technique, termed Fourier ptychographic diffraction tomography (FPDT), that iteratively stitches together numerous variably illuminated, low…

physics.optics2019★ 141 cited

High-speed in vitro intensity diffraction tomography

Jiaji Li, Alex Matlock, Yunzhe Li +3

We demonstrate a label-free, scan-free {\it intensity} diffraction tomography technique utilizing annular illumination (aIDT) to rapidly characterize large-volume 3D refractive ind…

eess.IV2019★ 2 cited

Temporal phase unwrapping using deep learning

Wei Yin, Qian Chen, Shijie Feng +5

The multi-frequency temporal phase unwrapping (MF-TPU) method, as a classical phase unwrapping algorithm for fringe projection profilometry (FPP), is capable of eliminating the pha…

physics.optics2019★ 3 cited

Optimal illumination scheme for isotropic quantitative differential phase contrast microscopy

Yao Fan, Jiasong Sun, Qian Chen +3

Differential phase contrast microscopy (DPC) provides high-resolution quantitative phase distribution of thin transparent samples under multi-axis asymmetric illuminations. Typical…

eess.IV2018★ 39 cited

Microscopic 3D measurement of shiny surfaces based on a multi-frequency phase-shifting scheme

Yan Hu, Qian Chen, Yichao Liang +3

Microscopic fringe projection profilometry is a powerful 3D measurement technique with a theoretical measurement accuracy better than one micron provided that the measured targets…

cs.CV2018★ 11 cited

Thermal Infrared Colorization via Conditional Generative Adversarial Network

Xiaodong Kuang, Xiubao Sui, Chengwei Liu +3

Transforming a thermal infrared image into a realistic RGB image is a challenging task. In this paper we propose a deep learning method to bridge this gap. We propose learning the…

eess.IV2018★ 36 cited

Optimal illumination pattern for transport-of-intensity quantitative phase microscopy

Jiaji Li, Qian Chen, Jiasong Sun +3

The transport-of-intensity equation (TIE) is a well-established non-interferometric phase retrieval approach, which enables quantitative phase imaging (QPI) of transparent sample s…

eess.IV2018★ 450 cited

Fringe pattern analysis using deep learning

Shijie Feng, Qian Chen, Guohua Gu +5

In many optical metrology techniques, fringe pattern analysis is the central algorithm for recovering the underlying phase distribution from the recorded fringe patterns. Despite e…

cs.CV2017

Adaptive compressed 3D imaging based on wavelet trees and Hadamard multiplexing with a single photon counting detector

Huidong Dai, Weiji He, Guohua Gu +3

Photon counting 3D imaging allows to obtain 3D images with single-photon sensitivity and sub-ns temporal resolution. However, it is challenging to scale to high spatial resolution.…

physics.ins-det2017★ 1 cited

Fast Depth Imaging Denoising with the Temporal Correlation of Photons

Zhenchao Feng, Weiji He, Jian Fang +6

This paper proposes a novel method to filter out the false alarm of LiDAR system by using the temporal correlation of target reflected photons. Because of the inevitable noise, whi…

physics.optics2017

Adaptive pixel-super-resolved lensfree holography for wide-field on-chip microscopy

Jialin Zhang, Jiasong Sun, Qian Chen +2

High-resolution wide field-of-view (FOV) microscopic imaging plays an essential role in various fields of biomedicine, engineering, and physical sciences. As an alternative to conv…

physics.ins-det2017★ 272 cited

Micro Fourier Transform Profilometry (FTP): 3D shape measurement at 10,000 frames per second

Chao Zuo, Tianyang Tao, Shijie Feng +3

Recent advances in imaging sensors and digital light projection technology have facilitated a rapid progress in 3D optical sensing, enabling 3D surfaces of complex-shaped objects t…

physics.optics2017★ 13 cited

High-resolution transport-of-intensity quantitative phase microscopy with annular illumination

Chao Zuo, Jiasong Sun, Jiaji Li +3

For quantitative phase imaging (QPI) based on transport-of-intensity equation (TIE), partially coherent illumination provides speckle-free imaging, compatibility with brightfield m…

physics.optics2016

Adaptive Depth Imaging with Single-Photon Detectors

Weiji He, Zhenchao Feng, Jie Lin +5

For active optical imaging, the use of single-photon detectors can greatly improve the detection sensitivity of the system. However, the traditional maximum-likelihood based imagin…