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Video colorization using canny optimization technique / Irwin Kevin Mueson

Video colorization is one of the complex and challenging study in image processing area especially when the video is originally in grayscale format with a very poor quality. Nowadays, grayscale video movie will not be essential option for new generation to watch. More than that, children education a...

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Main Author: Irwin Kevin Mueson
Format: Thesis
Language:English
Published: 2016
Online Access:http://ir.uitm.edu.my/id/eprint/18155/2/TD_IRWIN%20KEVIN%20MUESON%20CS%2016_5.pdf
http://ir.uitm.edu.my/id/eprint/18155/
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spelling my.uitm.ir.181552019-02-28T04:31:55Z http://ir.uitm.edu.my/id/eprint/18155/ Video colorization using canny optimization technique / Irwin Kevin Mueson Irwin Kevin Mueson Video colorization is one of the complex and challenging study in image processing area especially when the video is originally in grayscale format with a very poor quality. Nowadays, grayscale video movie will not be essential option for new generation to watch. More than that, children education also nee a colored video to make the learning interesting. This project will be developing the program that make the colorization on grayscale video is possible to be done, and the grayscale video is obtained from old classic P. Ramlee movie which is originally in grayscale. Development is time consuming especially on colorization process, and it will be develop using Matlab. In this study, development of video colorization is done in two stages. First stage purposely to convert the grayscale video to image or frame. Then, by applying the technique of Structural Similarity Index Measurement, calculation and comparison of data of the image will be used to determine the key frames of all the images. The second stage is video colorization which is the main purpose of this project. Colorization process will be using the technique of Canny Optimization method. This is a hybrid technique from Colorization using Optimization, which was modified and improved the algorithms by adding Canny Edge Detection to improve the colorization process on the grayscale image or frames. The expected outcome of this study is the grayscale video is successfully colored. This program is standalone software and developed using Matlab programming language. In future, it is recommended that this program prototype can improve the image quality and smoothen the colour distribution. 2016 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/18155/2/TD_IRWIN%20KEVIN%20MUESON%20CS%2016_5.pdf Irwin Kevin Mueson (2016) Video colorization using canny optimization technique / Irwin Kevin Mueson. Degree thesis, Universiti Teknologi MARA.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description Video colorization is one of the complex and challenging study in image processing area especially when the video is originally in grayscale format with a very poor quality. Nowadays, grayscale video movie will not be essential option for new generation to watch. More than that, children education also nee a colored video to make the learning interesting. This project will be developing the program that make the colorization on grayscale video is possible to be done, and the grayscale video is obtained from old classic P. Ramlee movie which is originally in grayscale. Development is time consuming especially on colorization process, and it will be develop using Matlab. In this study, development of video colorization is done in two stages. First stage purposely to convert the grayscale video to image or frame. Then, by applying the technique of Structural Similarity Index Measurement, calculation and comparison of data of the image will be used to determine the key frames of all the images. The second stage is video colorization which is the main purpose of this project. Colorization process will be using the technique of Canny Optimization method. This is a hybrid technique from Colorization using Optimization, which was modified and improved the algorithms by adding Canny Edge Detection to improve the colorization process on the grayscale image or frames. The expected outcome of this study is the grayscale video is successfully colored. This program is standalone software and developed using Matlab programming language. In future, it is recommended that this program prototype can improve the image quality and smoothen the colour distribution.
format Thesis
author Irwin Kevin Mueson
spellingShingle Irwin Kevin Mueson
Video colorization using canny optimization technique / Irwin Kevin Mueson
author_facet Irwin Kevin Mueson
author_sort Irwin Kevin Mueson
title Video colorization using canny optimization technique / Irwin Kevin Mueson
title_short Video colorization using canny optimization technique / Irwin Kevin Mueson
title_full Video colorization using canny optimization technique / Irwin Kevin Mueson
title_fullStr Video colorization using canny optimization technique / Irwin Kevin Mueson
title_full_unstemmed Video colorization using canny optimization technique / Irwin Kevin Mueson
title_sort video colorization using canny optimization technique / irwin kevin mueson
publishDate 2016
url http://ir.uitm.edu.my/id/eprint/18155/2/TD_IRWIN%20KEVIN%20MUESON%20CS%2016_5.pdf
http://ir.uitm.edu.my/id/eprint/18155/
_version_ 1685649043125960704
score 13.211869

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