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Image restoration techniques in spatial domain and frequency domains / Osamah Jasim Madhloom

A digital image is a numeric representation of a two-dimensional image. A recorded image is often contaminated with noise. Hence, image restoration is a fundamental research topic in the realm of image to obtain an optimal estimate of the original image given the degraded image. In this study, Dire...

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Main Author: Osamah Jasim, Madhloom
Format: Thesis
Published: 2017
Subjects:
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://studentsrepo.um.edu.my/7890/7/osamah.pdf
http://studentsrepo.um.edu.my/7890/
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spelling my.um.stud.78902020-08-10T20:39:24Z Image restoration techniques in spatial domain and frequency domains / Osamah Jasim Madhloom Osamah Jasim, Madhloom T Technology (General) TK Electrical engineering. Electronics Nuclear engineering A digital image is a numeric representation of a two-dimensional image. A recorded image is often contaminated with noise. Hence, image restoration is a fundamental research topic in the realm of image to obtain an optimal estimate of the original image given the degraded image. In this study, Direct Inverse Filter, Wiener filter, and Complex Wavelet filter techniques are applied to eliminate the noise, thereby improving the quality of the restored image. They are analyzed, derived, and implemented using MATLAB software for reconstructing the degraded image. Two types of noise, Gaussian noise and Salt & Pepper noise with different levels of noise are used to contaminate the original image. Then, image quality metrics, namely; mean square error (MSE), peak signal-to-noise ratio (PSNR), and structural similarity index (SSIM) are applied to measure the quality of the restored images using the aforementioned image restoration techniques. Experimental and simulation results show that Constrained Complex wavelet filter is the best-performing image restoration technique followed by Wiener filler, and finally Direct Inverse filter. 2017-08 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/7890/7/osamah.pdf Osamah Jasim, Madhloom (2017) Image restoration techniques in spatial domain and frequency domains / Osamah Jasim Madhloom. Masters thesis, University of Malaya. http://studentsrepo.um.edu.my/7890/
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Student Repository
url_provider http://studentsrepo.um.edu.my/
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Osamah Jasim, Madhloom
Image restoration techniques in spatial domain and frequency domains / Osamah Jasim Madhloom
description A digital image is a numeric representation of a two-dimensional image. A recorded image is often contaminated with noise. Hence, image restoration is a fundamental research topic in the realm of image to obtain an optimal estimate of the original image given the degraded image. In this study, Direct Inverse Filter, Wiener filter, and Complex Wavelet filter techniques are applied to eliminate the noise, thereby improving the quality of the restored image. They are analyzed, derived, and implemented using MATLAB software for reconstructing the degraded image. Two types of noise, Gaussian noise and Salt & Pepper noise with different levels of noise are used to contaminate the original image. Then, image quality metrics, namely; mean square error (MSE), peak signal-to-noise ratio (PSNR), and structural similarity index (SSIM) are applied to measure the quality of the restored images using the aforementioned image restoration techniques. Experimental and simulation results show that Constrained Complex wavelet filter is the best-performing image restoration technique followed by Wiener filler, and finally Direct Inverse filter.
format Thesis
author Osamah Jasim, Madhloom
author_facet Osamah Jasim, Madhloom
author_sort Osamah Jasim, Madhloom
title Image restoration techniques in spatial domain and frequency domains / Osamah Jasim Madhloom
title_short Image restoration techniques in spatial domain and frequency domains / Osamah Jasim Madhloom
title_full Image restoration techniques in spatial domain and frequency domains / Osamah Jasim Madhloom
title_fullStr Image restoration techniques in spatial domain and frequency domains / Osamah Jasim Madhloom
title_full_unstemmed Image restoration techniques in spatial domain and frequency domains / Osamah Jasim Madhloom
title_sort image restoration techniques in spatial domain and frequency domains / osamah jasim madhloom
publishDate 2017
url http://studentsrepo.um.edu.my/7890/7/osamah.pdf
http://studentsrepo.um.edu.my/7890/
_version_ 1738506076297363456
score 13.211869

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