New Histogram Equalization Based Detail And Brightness Preserving Techniques For Digital Images

Although Histogram Equalization (HE) is widely used as a contrast enhancement method because of its effectiveness and simplicity, it tends to produce mean brightness change, intensity saturation problem and noise amplification. Therefore, two novel brightness preservation methods, namely Brightness...

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Main Author: Ooi , Chen Hee
Format: Thesis
Language:English
Published: 2010
Subjects:
Online Access:http://eprints.usm.my/42267/1/OOI_CHEN_HEE.pdf
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spelling my-usm-ep.422672019-04-12T05:26:46Z New Histogram Equalization Based Detail And Brightness Preserving Techniques For Digital Images 2010-11 Ooi , Chen Hee TK1-9971 Electrical engineering. Electronics. Nuclear engineering Although Histogram Equalization (HE) is widely used as a contrast enhancement method because of its effectiveness and simplicity, it tends to produce mean brightness change, intensity saturation problem and noise amplification. Therefore, two novel brightness preservation methods, namely Brightness Preserving Plateau Limit Histogram Equalization (BPPLHE) and Quantized Plateau Limit Bi-Histogram Equalization (QPLBHE) are proposed. The method for preserving mean brightness is under a very high demand, especially where consumer electronic products are concerned, like the television, monitor etc. 2010-11 Thesis http://eprints.usm.my/42267/ http://eprints.usm.my/42267/1/OOI_CHEN_HEE.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Kejuteraan Elektrik & 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
Ooi , Chen Hee
New Histogram Equalization Based Detail And Brightness Preserving Techniques For Digital Images
description Although Histogram Equalization (HE) is widely used as a contrast enhancement method because of its effectiveness and simplicity, it tends to produce mean brightness change, intensity saturation problem and noise amplification. Therefore, two novel brightness preservation methods, namely Brightness Preserving Plateau Limit Histogram Equalization (BPPLHE) and Quantized Plateau Limit Bi-Histogram Equalization (QPLBHE) are proposed. The method for preserving mean brightness is under a very high demand, especially where consumer electronic products are concerned, like the television, monitor etc.
format Thesis
qualification_level Master's degree
author Ooi , Chen Hee
author_facet Ooi , Chen Hee
author_sort Ooi , Chen Hee
title New Histogram Equalization Based Detail And Brightness Preserving Techniques For Digital Images
title_short New Histogram Equalization Based Detail And Brightness Preserving Techniques For Digital Images
title_full New Histogram Equalization Based Detail And Brightness Preserving Techniques For Digital Images
title_fullStr New Histogram Equalization Based Detail And Brightness Preserving Techniques For Digital Images
title_full_unstemmed New Histogram Equalization Based Detail And Brightness Preserving Techniques For Digital Images
title_sort new histogram equalization based detail and brightness preserving techniques for digital images
granting_institution Universiti Sains Malaysia
granting_department Pusat Pengajian Kejuteraan Elektrik & Elektronik
publishDate 2010
url http://eprints.usm.my/42267/1/OOI_CHEN_HEE.pdf
_version_ 1747821047851253760