Constrained PDF based histogram equalization for image constrast enhancement
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/15035 |
Resumo: | Histogram Equalization (HE) has proved to be a simple image contrast enhancement technique. However, it tends to change the mean brightness of the image to the middle level of the gray level range. In this paper, a smart contrast enhancement technique based on conventional HE algorithm is proposed. This Constrained PDF based Histogram Equalization (CPHE) technique takes control over the effect of traditional HE so that it performs the enhancement of an image without making any loss of details in it. In the proposed method, the probability distribution function (histogram) of an image is modified by introducing constraints before the histogram equalization (HE) is performed. This shows that such an approach provides a convenient and effective mechanism to control the enhancement process, while being adaptive to various types of images. Experimental results are presented and compared with results from other contemporary methods. |
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Constrained PDF based histogram equalization for image constrast enhancementContrast enhancementHistogram equalization (HE)Probability density functionCummulative distribution functionHistogram Equalization (HE) has proved to be a simple image contrast enhancement technique. However, it tends to change the mean brightness of the image to the middle level of the gray level range. In this paper, a smart contrast enhancement technique based on conventional HE algorithm is proposed. This Constrained PDF based Histogram Equalization (CPHE) technique takes control over the effect of traditional HE so that it performs the enhancement of an image without making any loss of details in it. In the proposed method, the probability distribution function (histogram) of an image is modified by introducing constraints before the histogram equalization (HE) is performed. This shows that such an approach provides a convenient and effective mechanism to control the enhancement process, while being adaptive to various types of images. Experimental results are presented and compared with results from other contemporary methods.Universidade Federal de Lavras (UFLA)2008-12-012017-08-01T21:08:49Z2017-08-01T21:08:49Z2017-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfBALASUBRAMANIAN, K. Constrained PDF based histogram equalization for image constrast enhancement. INFOCOMP Journal of Computer Science, Lavras, v. 7, n. 4, p. 78-83, Dec. 2008.http://repositorio.ufla.br/jspui/handle/1/15035INFOCOMP; Vol 7 No 4 (2008): December, 2008; 78-831982-33631807-4545reponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttp://www.dcc.ufla.br/infocomp/index.php/INFOCOMP/article/view/241/226Copyright (c) 2016 INFOCOMP Journal of Computer ScienceAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessBalasubramanian, K.2021-09-06T23:41:12Zoai:localhost:1/15035Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2021-09-06T23:41:12Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Constrained PDF based histogram equalization for image constrast enhancement |
title |
Constrained PDF based histogram equalization for image constrast enhancement |
spellingShingle |
Constrained PDF based histogram equalization for image constrast enhancement Balasubramanian, K. Contrast enhancement Histogram equalization (HE) Probability density function Cummulative distribution function |
title_short |
Constrained PDF based histogram equalization for image constrast enhancement |
title_full |
Constrained PDF based histogram equalization for image constrast enhancement |
title_fullStr |
Constrained PDF based histogram equalization for image constrast enhancement |
title_full_unstemmed |
Constrained PDF based histogram equalization for image constrast enhancement |
title_sort |
Constrained PDF based histogram equalization for image constrast enhancement |
author |
Balasubramanian, K. |
author_facet |
Balasubramanian, K. |
author_role |
author |
dc.contributor.author.fl_str_mv |
Balasubramanian, K. |
dc.subject.por.fl_str_mv |
Contrast enhancement Histogram equalization (HE) Probability density function Cummulative distribution function |
topic |
Contrast enhancement Histogram equalization (HE) Probability density function Cummulative distribution function |
description |
Histogram Equalization (HE) has proved to be a simple image contrast enhancement technique. However, it tends to change the mean brightness of the image to the middle level of the gray level range. In this paper, a smart contrast enhancement technique based on conventional HE algorithm is proposed. This Constrained PDF based Histogram Equalization (CPHE) technique takes control over the effect of traditional HE so that it performs the enhancement of an image without making any loss of details in it. In the proposed method, the probability distribution function (histogram) of an image is modified by introducing constraints before the histogram equalization (HE) is performed. This shows that such an approach provides a convenient and effective mechanism to control the enhancement process, while being adaptive to various types of images. Experimental results are presented and compared with results from other contemporary methods. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-12-01 2017-08-01T21:08:49Z 2017-08-01T21:08:49Z 2017-08-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
BALASUBRAMANIAN, K. Constrained PDF based histogram equalization for image constrast enhancement. INFOCOMP Journal of Computer Science, Lavras, v. 7, n. 4, p. 78-83, Dec. 2008. http://repositorio.ufla.br/jspui/handle/1/15035 |
identifier_str_mv |
BALASUBRAMANIAN, K. Constrained PDF based histogram equalization for image constrast enhancement. INFOCOMP Journal of Computer Science, Lavras, v. 7, n. 4, p. 78-83, Dec. 2008. |
url |
http://repositorio.ufla.br/jspui/handle/1/15035 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.dcc.ufla.br/infocomp/index.php/INFOCOMP/article/view/241/226 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2016 INFOCOMP Journal of Computer Science Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2016 INFOCOMP Journal of Computer Science Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Lavras (UFLA) |
publisher.none.fl_str_mv |
Universidade Federal de Lavras (UFLA) |
dc.source.none.fl_str_mv |
INFOCOMP; Vol 7 No 4 (2008): December, 2008; 78-83 1982-3363 1807-4545 reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
_version_ |
1807835105040793600 |