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/
http://eprints.usm.my/42267/1/OOI_CHEN_HEE.pdf
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author Ooi , Chen Hee
author_facet Ooi , Chen Hee
author_sort Ooi , Chen Hee
building USM Institutional Repository
collection Online Access
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.
first_indexed 2025-11-15T17:48:26Z
format Thesis
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institution Universiti Sains Malaysia
institution_category Local University
language English
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publishDate 2010
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spelling usm-422672019-04-12T05:26:46Z http://eprints.usm.my/42267/ New Histogram Equalization Based Detail And Brightness Preserving Techniques For Digital Images 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 NonPeerReviewed application/pdf en http://eprints.usm.my/42267/1/OOI_CHEN_HEE.pdf Ooi , Chen Hee (2010) New Histogram Equalization Based Detail And Brightness Preserving Techniques For Digital Images. Masters thesis, Universiti Sains Malaysia.
spellingShingle TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Ooi , Chen Hee
New Histogram Equalization Based Detail And Brightness Preserving Techniques For Digital Images
title 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_short 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
topic TK1-9971 Electrical engineering. Electronics. Nuclear engineering
url http://eprints.usm.my/42267/
http://eprints.usm.my/42267/1/OOI_CHEN_HEE.pdf