New Contrast Enhancement Techniques Based On Histogram Equalization Concept For Gray Scale Image

Even though the histogram equalization (HE) is well known for its simplicity and effectiveness in image contrast enhancement, nevertheless, it does suffer from excessive brightness change, intensity saturation and noise amplification problems. In general, the conventional HE based methods are divide...

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Main Author:	Lim, Sheng Hoong
Format:	Thesis
Language:	English
Published:	2013
Subjects:	TK1-9971 Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.usm.my/43777/1/Lim%20Sheng%20Hoong24.pdf
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id	my-usm-ep.43777
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spelling	my-usm-ep.437772019-04-12T05:26:13Z New Contrast Enhancement Techniques Based On Histogram Equalization Concept For Gray Scale Image 2013-06 Lim, Sheng Hoong TK1-9971 Electrical engineering. Electronics. Nuclear engineering Even though the histogram equalization (HE) is well known for its simplicity and effectiveness in image contrast enhancement, nevertheless, it does suffer from excessive brightness change, intensity saturation and noise amplification problems. In general, the conventional HE based methods are divided into two categories, namely brightness preservation (i.e., designed to preserve the brightness and improve the contrast of the natural images taken under normal lighting condition) and detail preservation (i.e., improve the visual and increase the brightness of the natural images taken under low lighting condition) methods. In this study, a brightness preservation method, namely Improved Quantized Plateau Limits Bi-Histogram Equalization (IQPLBHE) and a detail preservation method, namely Dynamic Range Bi-Histogram Equalization (DRBHE), are introduced. Basically, the proposed IQPLBHE method first separates the input histogram into two sub-histograms. Then, the plateau limits are calculated from the respective sub-histograms, which are used to modify those sub-histograms. Lastly, HE is then separately performed on the two sub-histograms. On the other hand, the proposed DRBHE method first separates the input histogram into two sub-histograms. Then, a new probability density function is created based on local information. Next, cumulative density function normalization is applied. Lastly, a new separating point is calculated before the combination of HE and DRHE is applied. Qualitative and quantitative analyses results show that both the proposed methods have good performance. Moreover, both the proposed methods have the advantages of being simple and tuning free, which are suitable to be applied in consumer electronic products. 2013-06 Thesis http://eprints.usm.my/43777/ http://eprints.usm.my/43777/1/Lim%20Sheng%20Hoong24.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Kejuruteraan 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 Lim, Sheng Hoong New Contrast Enhancement Techniques Based On Histogram Equalization Concept For Gray Scale Image
description	Even though the histogram equalization (HE) is well known for its simplicity and effectiveness in image contrast enhancement, nevertheless, it does suffer from excessive brightness change, intensity saturation and noise amplification problems. In general, the conventional HE based methods are divided into two categories, namely brightness preservation (i.e., designed to preserve the brightness and improve the contrast of the natural images taken under normal lighting condition) and detail preservation (i.e., improve the visual and increase the brightness of the natural images taken under low lighting condition) methods. In this study, a brightness preservation method, namely Improved Quantized Plateau Limits Bi-Histogram Equalization (IQPLBHE) and a detail preservation method, namely Dynamic Range Bi-Histogram Equalization (DRBHE), are introduced. Basically, the proposed IQPLBHE method first separates the input histogram into two sub-histograms. Then, the plateau limits are calculated from the respective sub-histograms, which are used to modify those sub-histograms. Lastly, HE is then separately performed on the two sub-histograms. On the other hand, the proposed DRBHE method first separates the input histogram into two sub-histograms. Then, a new probability density function is created based on local information. Next, cumulative density function normalization is applied. Lastly, a new separating point is calculated before the combination of HE and DRHE is applied. Qualitative and quantitative analyses results show that both the proposed methods have good performance. Moreover, both the proposed methods have the advantages of being simple and tuning free, which are suitable to be applied in consumer electronic products.
format	Thesis
qualification_level	Master's degree
author	Lim, Sheng Hoong
author_facet	Lim, Sheng Hoong
author_sort	Lim, Sheng Hoong
title	New Contrast Enhancement Techniques Based On Histogram Equalization Concept For Gray Scale Image
title_short	New Contrast Enhancement Techniques Based On Histogram Equalization Concept For Gray Scale Image
title_full	New Contrast Enhancement Techniques Based On Histogram Equalization Concept For Gray Scale Image
title_fullStr	New Contrast Enhancement Techniques Based On Histogram Equalization Concept For Gray Scale Image
title_full_unstemmed	New Contrast Enhancement Techniques Based On Histogram Equalization Concept For Gray Scale Image
title_sort	new contrast enhancement techniques based on histogram equalization concept for gray scale image
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuruteraan Elektrik & Elektronik
publishDate	2013
url	http://eprints.usm.my/43777/1/Lim%20Sheng%20Hoong24.pdf
_version_	1747821277380345856

New Contrast Enhancement Techniques Based On Histogram Equalization Concept For Gray Scale Image

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