Development Of Contrast Enhancement Algorithm For Images Captured Under Insufficient Illumination

Many methods have been proposed to improve the contrast, quality and to optimize the insufficient illumination images. In the image enhancement, the main goal is to improve the contrast in the images. Images with high quality contain a great variety of information. The images quality is very easily...

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Main Author:	Huang, Nan
Format:	Thesis
Language:	English
Published:	2017
Subjects:	TK1-9971 Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.usm.my/39396/1/HUANG_NAN_24_Pages.pdf
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id	my-usm-ep.39396
record_format	uketd_dc
spelling	my-usm-ep.393962019-04-12T05:25:06Z Development Of Contrast Enhancement Algorithm For Images Captured Under Insufficient Illumination 2017 Huang, Nan TK1-9971 Electrical engineering. Electronics. Nuclear engineering Many methods have been proposed to improve the contrast, quality and to optimize the insufficient illumination images. In the image enhancement, the main goal is to improve the contrast in the images. Images with high quality contain a great variety of information. The images quality is very easily affected by lighting, climate or equipment’s that have been used to capture the image. Some of these conditions such as insufficient illumination lead to darker images where the image may suffer information loss. Therefore, this thesis puts forward an optimized enhancement method in order to retain the information in the image. This proposed method performs on the insufficient light images. The proposed algorithm is decomposed by Haar wavelet to obtain the decomposition coefficient in all directions of the image, adjusts the threshold values of wavelet coefficient, then reconstruct the image. Finally, do the suitable postprocessing for the reconstructed image. The experimental results demonstrate that the proposed method successfully improves the image quality and contrast and these proven by a series of experiments. The proposed method shows good results for image enhancement. Whether it is in the image contrast enhancement, or extent of noise pollution. The proposed method was enhanced the contrast value more than fifty thousand at the same time, the variance was controlled less than ten thousand. 2017 Thesis http://eprints.usm.my/39396/ http://eprints.usm.my/39396/1/HUANG_NAN_24_Pages.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Kejuruteraan Elektrik dan Elektronik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	TK1-9971 Electrical engineering Electronics Nuclear engineering
spellingShingle	TK1-9971 Electrical engineering Electronics Nuclear engineering Huang, Nan Development Of Contrast Enhancement Algorithm For Images Captured Under Insufficient Illumination
description	Many methods have been proposed to improve the contrast, quality and to optimize the insufficient illumination images. In the image enhancement, the main goal is to improve the contrast in the images. Images with high quality contain a great variety of information. The images quality is very easily affected by lighting, climate or equipment’s that have been used to capture the image. Some of these conditions such as insufficient illumination lead to darker images where the image may suffer information loss. Therefore, this thesis puts forward an optimized enhancement method in order to retain the information in the image. This proposed method performs on the insufficient light images. The proposed algorithm is decomposed by Haar wavelet to obtain the decomposition coefficient in all directions of the image, adjusts the threshold values of wavelet coefficient, then reconstruct the image. Finally, do the suitable postprocessing for the reconstructed image. The experimental results demonstrate that the proposed method successfully improves the image quality and contrast and these proven by a series of experiments. The proposed method shows good results for image enhancement. Whether it is in the image contrast enhancement, or extent of noise pollution. The proposed method was enhanced the contrast value more than fifty thousand at the same time, the variance was controlled less than ten thousand.
format	Thesis
qualification_level	Master's degree
author	Huang, Nan
author_facet	Huang, Nan
author_sort	Huang, Nan
title	Development Of Contrast Enhancement Algorithm For Images Captured Under Insufficient Illumination
title_short	Development Of Contrast Enhancement Algorithm For Images Captured Under Insufficient Illumination
title_full	Development Of Contrast Enhancement Algorithm For Images Captured Under Insufficient Illumination
title_fullStr	Development Of Contrast Enhancement Algorithm For Images Captured Under Insufficient Illumination
title_full_unstemmed	Development Of Contrast Enhancement Algorithm For Images Captured Under Insufficient Illumination
title_sort	development of contrast enhancement algorithm for images captured under insufficient illumination
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuruteraan Elektrik dan Elektronik
publishDate	2017
url	http://eprints.usm.my/39396/1/HUANG_NAN_24_Pages.pdf
_version_	1747820746916233216

Development Of Contrast Enhancement Algorithm For Images Captured Under Insufficient Illumination

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