Restoration of image by the Conjugate Gradient method using MATLAB apps designer / Muhammad Azhan Hilmi Khairol Amali

The Conjugate Gradient (CG) Method is a well-known iterative method for solving unconstrained optimization problems. Image restoration is among the most challenging problems and it is one of the unconstrained optimization problems. The most challenging process in image restoration is restoring an im...

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Main Author:	Khairol Amali, Muhammad Azhan Hilmi
Format:	Thesis
Language:	English
Published:	2023
Subjects:	Algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/96768/1/96768.pdf
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id	my-uitm-ir.96768
record_format	uketd_dc
spelling	my-uitm-ir.967682024-06-11T16:37:43Z Restoration of image by the Conjugate Gradient method using MATLAB apps designer / Muhammad Azhan Hilmi Khairol Amali 2023 Khairol Amali, Muhammad Azhan Hilmi Algorithms The Conjugate Gradient (CG) Method is a well-known iterative method for solving unconstrained optimization problems. Image restoration is among the most challenging problems and it is one of the unconstrained optimization problems. The most challenging process in image restoration is restoring an image affected by impulse noise. The impulse noise has two types: salt and pepper noise and random valued impulse noise. Solving the image processing problem using the CG method manually is tedious since it involves many iterative calculations. Hence, the main objective is to review the CG method development applied to image processing problems and to develop GUI MATLAB for image restoration using the CG method. The term "GUI" refers to the graphically represented user interface for computer operations, which serves as the channel for communication between the computer and its users. Using GUI MATLAB, users no longer need to use the combination of function and coding to perform image restoration. The GUI MATLAB facilitates the user by creating buttons and several callback functions. It was more convenient this way. In this research report, there are 42 lists of formulas in the standalone application GUI MATLAB. During the experiment, four lists of CG methods will be used for this research: HS, FR, PRP+ and WYL. The image that will be used is Lena, Man and Circle. Besides, the noise degrees 0.35, 0.45, 0.55 and 0.75 will be used in applying GUI MATLAB. In order to test the GUI, the result will be compared to the result from the paper by Ma et al., (2022) for FR, PRP+ and WYL. 2023 Thesis https://ir.uitm.edu.my/id/eprint/96768/ https://ir.uitm.edu.my/id/eprint/96768/1/96768.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Mathematics Norddin, Nur Idalisa
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Norddin, Nur Idalisa
topic	Algorithms
spellingShingle	Algorithms Khairol Amali, Muhammad Azhan Hilmi Restoration of image by the Conjugate Gradient method using MATLAB apps designer / Muhammad Azhan Hilmi Khairol Amali
description	The Conjugate Gradient (CG) Method is a well-known iterative method for solving unconstrained optimization problems. Image restoration is among the most challenging problems and it is one of the unconstrained optimization problems. The most challenging process in image restoration is restoring an image affected by impulse noise. The impulse noise has two types: salt and pepper noise and random valued impulse noise. Solving the image processing problem using the CG method manually is tedious since it involves many iterative calculations. Hence, the main objective is to review the CG method development applied to image processing problems and to develop GUI MATLAB for image restoration using the CG method. The term "GUI" refers to the graphically represented user interface for computer operations, which serves as the channel for communication between the computer and its users. Using GUI MATLAB, users no longer need to use the combination of function and coding to perform image restoration. The GUI MATLAB facilitates the user by creating buttons and several callback functions. It was more convenient this way. In this research report, there are 42 lists of formulas in the standalone application GUI MATLAB. During the experiment, four lists of CG methods will be used for this research: HS, FR, PRP+ and WYL. The image that will be used is Lena, Man and Circle. Besides, the noise degrees 0.35, 0.45, 0.55 and 0.75 will be used in applying GUI MATLAB. In order to test the GUI, the result will be compared to the result from the paper by Ma et al., (2022) for FR, PRP+ and WYL.
format	Thesis
qualification_level	Bachelor degree
author	Khairol Amali, Muhammad Azhan Hilmi
author_facet	Khairol Amali, Muhammad Azhan Hilmi
author_sort	Khairol Amali, Muhammad Azhan Hilmi
title	Restoration of image by the Conjugate Gradient method using MATLAB apps designer / Muhammad Azhan Hilmi Khairol Amali
title_short	Restoration of image by the Conjugate Gradient method using MATLAB apps designer / Muhammad Azhan Hilmi Khairol Amali
title_full	Restoration of image by the Conjugate Gradient method using MATLAB apps designer / Muhammad Azhan Hilmi Khairol Amali
title_fullStr	Restoration of image by the Conjugate Gradient method using MATLAB apps designer / Muhammad Azhan Hilmi Khairol Amali
title_full_unstemmed	Restoration of image by the Conjugate Gradient method using MATLAB apps designer / Muhammad Azhan Hilmi Khairol Amali
title_sort	restoration of image by the conjugate gradient method using matlab apps designer / muhammad azhan hilmi khairol amali
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	College of Computing, Informatics and Mathematics
publishDate	2023
url	https://ir.uitm.edu.my/id/eprint/96768/1/96768.pdf
_version_	1804890006039298048

Restoration of image by the Conjugate Gradient method using MATLAB apps designer / Muhammad Azhan Hilmi Khairol Amali

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