Color image contrast enhancement using a local equalization and weighted sum approach

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dc.contributor.author Kwok, NM
dc.contributor.author Ha, QP
dc.contributor.author Fang, G
dc.contributor.author Rad, AB
dc.contributor.author Wang, D
dc.date.accessioned 2012-02-02T11:08:21Z
dc.date.issued 2010
dc.identifier.citation 2010 IEEE International Conference on Automation Science and Engineering, CASE 2010, 2010, pp. 568 - 573
dc.identifier.isbn 9781424454471
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/16321
dc.description.abstract Image contrast enhancement is a fundamental step taken to ensure the effectiveness of subsequent image-related processes. In additional to subjective quality evaluation, objective user viewing is also a common performance requirement. However, canonical global histogram equalization methods which though produce a higher information content may give rise to viewing un-comfort due to over-fitting the two ends of the intensity range. A strategy of local sector enhancement by histogram equalization is proposed in this research to mitigate that drawback. The image is first divided into sectors and they are independently enhanced by histogram equalization. Intermediate images are then generated recursively using this method and a resultant image is obtained by a weighted-sum aggregation on the basis of an intensity gradient measure. Local sectors with higher contrast dominate the others thus achieving overall global contrast enhancement. Experimental results from tests conducted on a variety of samples such as indoor, outdoor, and imperfect illumination images have shown the effectiveness of the proposed method. © 2010 IEEE.
dc.relation.isbasedon 10.1109/COASE.2010.5584719
dc.title Color image contrast enhancement using a local equalization and weighted sum approach
dc.type Conference Proceeding
dc.parent 2010 IEEE International Conference on Automation Science and Engineering, CASE 2010
dc.journal.number en_US
dc.publocation Toronto en_US
dc.identifier.startpage 568 en_US
dc.identifier.endpage 573 en_US
dc.cauo.name FEIT.School of Elec, Mech and Mechatronic Systems en_US
dc.conference Verified OK en_US
dc.conference IEEE International Conference on Automation Science and Engineering
dc.for 091302 Automation and Control Engineering
dc.personcode 000935
dc.percentage 100 en_US
dc.classification.name Automation and Control Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom IEEE International Conference on Automation Science and Engineering en_US
dc.date.activity 20100821 en_US
dc.date.activity 2010-08-21
dc.location.activity Toronto Canada en_US
dc.description.keywords image processing, contrast, optimisation, image colour analysis , image enhancement en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Elec, Mech and Mechatronic Systems
pubs.organisational-group /University of Technology Sydney/Strength - Built Infrastructure
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


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