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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
https://ir.uitm.edu.my/id/eprint/96768/
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spelling my.uitm.ir.967682024-06-11T16:37:43Z https://ir.uitm.edu.my/id/eprint/96768/ Restoration of image by the Conjugate Gradient method using MATLAB apps designer / Muhammad Azhan Hilmi Khairol Amali 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/96768/1/96768.pdf Restoration of image by the Conjugate Gradient method using MATLAB apps designer / Muhammad Azhan Hilmi Khairol Amali. (2023) Degree thesis, thesis, Universiti Teknologi MARA, Terengganu.
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
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
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
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/96768/1/96768.pdf
https://ir.uitm.edu.my/id/eprint/96768/
_version_ 1802981041014571008
score 13.211869

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