Sub-Millisecond Phase Retrieval for Phase-Diversity Wavefront Sensor

We propose a convolutional neural network (CNN) based method, namely phase diversity convolutional neural network (PD-CNN) for the speed acceleration of phase-diversity wavefront sensing. The PD-CNN has achieved a state-of-the-art result, with the inference speed about <inline-formula><math...

Full description

Bibliographic Details
Main Authors: Yu Wu, Youming Guo, Hua Bao, Changhui Rao
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/17/4877
_version_ 1797555238011404288
author Yu Wu
Youming Guo
Hua Bao
Changhui Rao
author_facet Yu Wu
Youming Guo
Hua Bao
Changhui Rao
author_sort Yu Wu
collection DOAJ
description We propose a convolutional neural network (CNN) based method, namely phase diversity convolutional neural network (PD-CNN) for the speed acceleration of phase-diversity wavefront sensing. The PD-CNN has achieved a state-of-the-art result, with the inference speed about <inline-formula><math display="inline"><semantics><mrow><mn>0.5</mn></mrow></semantics></math></inline-formula> ms, while fusing the information of the focal and defocused intensity images. When compared to the traditional phase diversity (PD) algorithms, the PD-CNN is a light-weight model without complicated iterative transformation and optimization process. Experiments have been done to demonstrate the accuracy and speed of the proposed approach.
first_indexed 2024-03-10T16:44:35Z
format Article
id doaj.art-1bad55281d5346118f54b7a4216e913f
institution Directory Open Access Journal
issn 1424-8220
language English
last_indexed 2024-03-10T16:44:35Z
publishDate 2020-08-01
publisher MDPI AG
record_format Article
series Sensors
spelling doaj.art-1bad55281d5346118f54b7a4216e913f2023-11-20T11:43:11ZengMDPI AGSensors1424-82202020-08-012017487710.3390/s20174877Sub-Millisecond Phase Retrieval for Phase-Diversity Wavefront SensorYu Wu0Youming Guo1Hua Bao2Changhui Rao3The Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu 610209, ChinaThe Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu 610209, ChinaThe Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu 610209, ChinaThe Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu 610209, ChinaWe propose a convolutional neural network (CNN) based method, namely phase diversity convolutional neural network (PD-CNN) for the speed acceleration of phase-diversity wavefront sensing. The PD-CNN has achieved a state-of-the-art result, with the inference speed about <inline-formula><math display="inline"><semantics><mrow><mn>0.5</mn></mrow></semantics></math></inline-formula> ms, while fusing the information of the focal and defocused intensity images. When compared to the traditional phase diversity (PD) algorithms, the PD-CNN is a light-weight model without complicated iterative transformation and optimization process. Experiments have been done to demonstrate the accuracy and speed of the proposed approach.https://www.mdpi.com/1424-8220/20/17/4877phase diversityconvolutional nerual networkreal time
spellingShingle Yu Wu
Youming Guo
Hua Bao
Changhui Rao
Sub-Millisecond Phase Retrieval for Phase-Diversity Wavefront Sensor
Sensors
phase diversity
convolutional nerual network
real time
title Sub-Millisecond Phase Retrieval for Phase-Diversity Wavefront Sensor
title_full Sub-Millisecond Phase Retrieval for Phase-Diversity Wavefront Sensor
title_fullStr Sub-Millisecond Phase Retrieval for Phase-Diversity Wavefront Sensor
title_full_unstemmed Sub-Millisecond Phase Retrieval for Phase-Diversity Wavefront Sensor
title_short Sub-Millisecond Phase Retrieval for Phase-Diversity Wavefront Sensor
title_sort sub millisecond phase retrieval for phase diversity wavefront sensor
topic phase diversity
convolutional nerual network
real time
url https://www.mdpi.com/1424-8220/20/17/4877
work_keys_str_mv AT yuwu submillisecondphaseretrievalforphasediversitywavefrontsensor
AT youmingguo submillisecondphaseretrievalforphasediversitywavefrontsensor
AT huabao submillisecondphaseretrievalforphasediversitywavefrontsensor
AT changhuirao submillisecondphaseretrievalforphasediversitywavefrontsensor