Vision correction from digital screens
Lots of people are wearing glasses or contact lenses to correct their vision problems such as short-sightedness, far-sightedness, etc. We engineer a super- high resolution of the digital to be a light field display which generates the correct light field to the eyes and renders sharp images on the r...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/169247 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-169247 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1692472023-07-14T15:43:02Z Vision correction from digital screens Jiang, Yan Cuong Dang School of Electrical and Electronic Engineering HCDang@ntu.edu.sg Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Lots of people are wearing glasses or contact lenses to correct their vision problems such as short-sightedness, far-sightedness, etc. We engineer a super- high resolution of the digital to be a light field display which generates the correct light field to the eyes and renders sharp images on the retina without having the user wear spectacles. In this dissertation, we built the geometrical relationship between display and retina, then solve the optimization problem by using L-BFGS when modifying the content on a display. Algorithms are all realized by Python and also we show the feasibility of this thought at last. Master of Science (Computer Control and Automation) 2023-07-10T07:23:50Z 2023-07-10T07:23:50Z 2023 Thesis-Master by Coursework Jiang, Y. (2023). Vision correction from digital screens. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/169247 https://hdl.handle.net/10356/169247 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::Control and instrumentation::Control engineering Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision |
spellingShingle |
Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Jiang, Yan Vision correction from digital screens |
description |
Lots of people are wearing glasses or contact lenses to correct their vision problems such as short-sightedness, far-sightedness, etc. We engineer a super- high resolution of the digital to be a light field display which generates the correct light field to the eyes and renders sharp images on the retina without
having the user wear spectacles. In this dissertation, we built the geometrical relationship between display and retina, then solve the optimization problem by using L-BFGS when modifying the content on a display. Algorithms are all realized by Python and also we show the feasibility of this thought at last. |
author2 |
Cuong Dang |
author_facet |
Cuong Dang Jiang, Yan |
format |
Thesis-Master by Coursework |
author |
Jiang, Yan |
author_sort |
Jiang, Yan |
title |
Vision correction from digital screens |
title_short |
Vision correction from digital screens |
title_full |
Vision correction from digital screens |
title_fullStr |
Vision correction from digital screens |
title_full_unstemmed |
Vision correction from digital screens |
title_sort |
vision correction from digital screens |
publisher |
Nanyang Technological University |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/169247 |
_version_ |
1772825383579680768 |