Imaging through scattering media with machine learning

In the areas of biomedical, earth observatory and astronomical imaging, scattering media poses a problem as conventional imaging system are not able to account for light being randomly scattered. Conventional imaging systems would capture a speckle pattern image instead of an undistorted image of th...

Full description

Saved in:
Bibliographic Details
Main Author: Pay, Wee Kiat
Other Authors: Cuong Dang
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/140409
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-140409
record_format dspace
spelling sg-ntu-dr.10356-1404092023-07-07T18:44:09Z Imaging through scattering media with machine learning Pay, Wee Kiat Cuong Dang School of Electrical and Electronic Engineering HCDang@ntu.edu.sg Engineering::Electrical and electronic engineering In the areas of biomedical, earth observatory and astronomical imaging, scattering media poses a problem as conventional imaging system are not able to account for light being randomly scattered. Conventional imaging systems would capture a speckle pattern image instead of an undistorted image of the target object. This project proposes a deep learning approach to achieve imaging through scattering media using deep convolutional neural networks. Several tests with different scenarios were conducted to evaluate the viability of such an approach. From the results, it was observed that the chosen deep convolutional neural network architecture exhibited the ability to perform imaging through scattering media. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-28T11:30:17Z 2020-05-28T11:30:17Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/140409 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Pay, Wee Kiat
Imaging through scattering media with machine learning
description In the areas of biomedical, earth observatory and astronomical imaging, scattering media poses a problem as conventional imaging system are not able to account for light being randomly scattered. Conventional imaging systems would capture a speckle pattern image instead of an undistorted image of the target object. This project proposes a deep learning approach to achieve imaging through scattering media using deep convolutional neural networks. Several tests with different scenarios were conducted to evaluate the viability of such an approach. From the results, it was observed that the chosen deep convolutional neural network architecture exhibited the ability to perform imaging through scattering media.
author2 Cuong Dang
author_facet Cuong Dang
Pay, Wee Kiat
format Final Year Project
author Pay, Wee Kiat
author_sort Pay, Wee Kiat
title Imaging through scattering media with machine learning
title_short Imaging through scattering media with machine learning
title_full Imaging through scattering media with machine learning
title_fullStr Imaging through scattering media with machine learning
title_full_unstemmed Imaging through scattering media with machine learning
title_sort imaging through scattering media with machine learning
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/140409
_version_ 1772828825401425920