Image preprocessing for light field imaging applications

Over the years, there has been an increasing problem of focusing of images in conventional photography. The main reason for this can be attributed to the fact that much information is lost when a picture is taken in a conventional camera. Light field imaging can be used to address this issue as it c...

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Main Author: G. Deepika
Other Authors: Chau Lap Pui
Format: Final Year Project
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10356/60904
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-609042023-07-07T16:42:10Z Image preprocessing for light field imaging applications G. Deepika Chau Lap Pui School of Electrical and Electronic Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Over the years, there has been an increasing problem of focusing of images in conventional photography. The main reason for this can be attributed to the fact that much information is lost when a picture is taken in a conventional camera. Light field imaging can be used to address this issue as it captures information about the direction of individual rays of light hitting its many micro-sensors. When a light field image is zoomed, it can be seen that it is made up of circular shaped micro-images. It is possible to get several views form the same image depending on which pixel we extract out from the micro-image of the main light field image. This can be used to focus on different parts of the images to get more information on specific portions of the scenes. In this project, research has been carried out on how to generate these views. This project uses MATLAB software to detect these circular shapes and also find their centers. This information can then be used to simulate different views from a light field image. Research information, implementation and results that have been gathered are included in this report. Bachelor of Engineering 2014-06-02T08:36:40Z 2014-06-02T08:36:40Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/60904 en Nanyang Technological University 70 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
G. Deepika
Image preprocessing for light field imaging applications
description Over the years, there has been an increasing problem of focusing of images in conventional photography. The main reason for this can be attributed to the fact that much information is lost when a picture is taken in a conventional camera. Light field imaging can be used to address this issue as it captures information about the direction of individual rays of light hitting its many micro-sensors. When a light field image is zoomed, it can be seen that it is made up of circular shaped micro-images. It is possible to get several views form the same image depending on which pixel we extract out from the micro-image of the main light field image. This can be used to focus on different parts of the images to get more information on specific portions of the scenes. In this project, research has been carried out on how to generate these views. This project uses MATLAB software to detect these circular shapes and also find their centers. This information can then be used to simulate different views from a light field image. Research information, implementation and results that have been gathered are included in this report.
author2 Chau Lap Pui
author_facet Chau Lap Pui
G. Deepika
format Final Year Project
author G. Deepika
author_sort G. Deepika
title Image preprocessing for light field imaging applications
title_short Image preprocessing for light field imaging applications
title_full Image preprocessing for light field imaging applications
title_fullStr Image preprocessing for light field imaging applications
title_full_unstemmed Image preprocessing for light field imaging applications
title_sort image preprocessing for light field imaging applications
publishDate 2014
url http://hdl.handle.net/10356/60904
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