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
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Online Access:http://eprints.usm.my/43777/1/Lim%20Sheng%20Hoong24.pdf
http://eprints.usm.my/43777/
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Institution: Universiti Sains Malaysia
Language: English
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spelling my.usm.eprints.43777 http://eprints.usm.my/43777/ New Contrast Enhancement Techniques Based On Histogram Equalization Concept For Gray Scale Image 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 NonPeerReviewed application/pdf en http://eprints.usm.my/43777/1/Lim%20Sheng%20Hoong24.pdf Lim, Sheng Hoong (2013) New Contrast Enhancement Techniques Based On Histogram Equalization Concept For Gray Scale Image. Masters thesis, Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
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
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
publishDate 2013
url http://eprints.usm.my/43777/1/Lim%20Sheng%20Hoong24.pdf
http://eprints.usm.my/43777/
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