An Algorithm of Image Contrast Enhancement Based on Pixels Neighborhood’s Local Feature

In this study, we proposed an algorithm of Image Contrast enhancement based on local feature to acquire edge information of image, remove Ray Imaging noise and overcome edge blurry and other defects. This method can extract edge features and finish contrast enhancement in varying degrees for pixel...

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Bibliographic Details
Main Authors:	Chen Yan, Shao Yanling, Gui Zhiguo
Format:	Article
Language:	English
Published:	Eastern Macedonia and Thrace Institute of Technology 2013-12-01
Series:	Journal of Engineering Science and Technology Review
Subjects:	Contrast Enhancement Local Feature Neighborhood
Online Access:	http://www.jestr.org/downloads/Volume6Issue3/fulltext18632013.pdf

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spelling	doaj-138048c2180b47809dedeed44a87eb5a2020-11-24T21:56:42ZengEastern Macedonia and Thrace Institute of TechnologyJournal of Engineering Science and Technology Review1791-23771791-23772013-12-0163100104An Algorithm of Image Contrast Enhancement Based on Pixels Neighborhood’s Local FeatureChen Yan0Shao Yanling1Gui Zhiguo2National Key Laboratory for Electronic Measurement Technology,North University of China,Taiyuan 030051, China / Key Laboratory of Instrumentation Science & Dynamic Measurement, North University of China,Taiyuan 030051, China / School of Information and Communication Engineering , North University of China,Taiyuan 030051, ChinaSchool of science ,North University of China,Taiyuan 030051, ChinaNational Key Laboratory for Electronic Measurement Technology,North University of China,Taiyuan 030051, China / Key Laboratory of Instrumentation Science & Dynamic Measurement, North University of China,Taiyuan 030051, China / School of Information and Communication Engineering , North University of China,Taiyuan 030051, ChinaIn this study, we proposed an algorithm of Image Contrast enhancement based on local feature to acquire edge information of image, remove Ray Imaging noise and overcome edge blurry and other defects. This method can extract edge features and finish contrast enhancement in varying degrees for pixels neighborhood with different characteristics by using neighborhood local variance and complexity function, which can achieve local features enhancement. The stimulation shows that the method can not only enhance the contrast of the entire image, but also effectively preserves image edge information and improve image quality.http://www.jestr.org/downloads/Volume6Issue3/fulltext18632013.pdfContrast EnhancementLocal FeatureNeighborhood
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Chen Yan Shao Yanling Gui Zhiguo
spellingShingle	Chen Yan Shao Yanling Gui Zhiguo An Algorithm of Image Contrast Enhancement Based on Pixels Neighborhood’s Local Feature Journal of Engineering Science and Technology Review Contrast Enhancement Local Feature Neighborhood
author_facet	Chen Yan Shao Yanling Gui Zhiguo
author_sort	Chen Yan
title	An Algorithm of Image Contrast Enhancement Based on Pixels Neighborhood’s Local Feature
title_short	An Algorithm of Image Contrast Enhancement Based on Pixels Neighborhood’s Local Feature
title_full	An Algorithm of Image Contrast Enhancement Based on Pixels Neighborhood’s Local Feature
title_fullStr	An Algorithm of Image Contrast Enhancement Based on Pixels Neighborhood’s Local Feature
title_full_unstemmed	An Algorithm of Image Contrast Enhancement Based on Pixels Neighborhood’s Local Feature
title_sort	algorithm of image contrast enhancement based on pixels neighborhood’s local feature
publisher	Eastern Macedonia and Thrace Institute of Technology
series	Journal of Engineering Science and Technology Review
issn	1791-2377 1791-2377
publishDate	2013-12-01
description	In this study, we proposed an algorithm of Image Contrast enhancement based on local feature to acquire edge information of image, remove Ray Imaging noise and overcome edge blurry and other defects. This method can extract edge features and finish contrast enhancement in varying degrees for pixels neighborhood with different characteristics by using neighborhood local variance and complexity function, which can achieve local features enhancement. The stimulation shows that the method can not only enhance the contrast of the entire image, but also effectively preserves image edge information and improve image quality.
topic	Contrast Enhancement Local Feature Neighborhood
url	http://www.jestr.org/downloads/Volume6Issue3/fulltext18632013.pdf
work_keys_str_mv	AT chenyan analgorithmofimagecontrastenhancementbasedonpixelsneighborhoodslocalfeature AT shaoyanling analgorithmofimagecontrastenhancementbasedonpixelsneighborhoodslocalfeature AT guizhiguo analgorithmofimagecontrastenhancementbasedonpixelsneighborhoodslocalfeature AT chenyan algorithmofimagecontrastenhancementbasedonpixelsneighborhoodslocalfeature AT shaoyanling algorithmofimagecontrastenhancementbasedonpixelsneighborhoodslocalfeature AT guizhiguo algorithmofimagecontrastenhancementbasedonpixelsneighborhoodslocalfeature
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An Algorithm of Image Contrast Enhancement Based on Pixels Neighborhood’s Local Feature

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