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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Bibliographic Details
Main Author:	Irwin Kevin Mueson
Format:	Thesis
Language:	English
Published:	2016
Online Access:	http://ir.uitm.edu.my/id/eprint/18155/ http://ir.uitm.edu.my/id/eprint/18155/2/TD_IRWIN%20KEVIN%20MUESON%20CS%2016_5.pdf

id	uitm-18155
recordtype	eprints
spelling	uitm-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.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
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/ http://ir.uitm.edu.my/id/eprint/18155/2/TD_IRWIN%20KEVIN%20MUESON%20CS%2016_5.pdf
first_indexed	2023-09-18T22:59:53Z
last_indexed	2023-09-18T22:59:53Z
_version_	1777418102258008064

Video colorization using canny optimization technique / Irwin Kevin Mueson

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