Color Image Contrast Enhancement using a Local Equalisation and Weighted Sum Approach

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Show simple item record Kwok, Ngai en_US Ha, Quang en_US Fang, Gu en_US Rad, Ahmed en_US Wang, D en_US
dc.contributor.editor IEEE Committee en_US 2012-02-02T11:08:21Z 2012-02-02T11:08:21Z 2010 en_US
dc.identifier 2009008705 en_US
dc.identifier.citation Kwok Ngai et al. 2010, 'Color Image Contrast Enhancement using a Local Equalisation and Weighted Sum Approach', , IEEE, Toronto, , pp. 568-573. en_US
dc.identifier.issn 978-1-4244-5448-8 en_US
dc.identifier.other E1 en_US
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. en_US
dc.language English en_US
dc.publisher IEEE en_US
dc.relation.isbasedon en_US
dc.title Color Image Contrast Enhancement using a Local Equalisation and Weighted Sum Approach en_US
dc.parent Proceedings of the IEEE International Conf. on Automation Science and Engineering en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Toronto en_US
dc.identifier.startpage 568 en_US
dc.identifier.endpage 573 en_US FEIT.School of Elec, Mech and Mechatronic Systems en_US
dc.conference Verified OK en_US
dc.for 091302 en_US
dc.personcode 0000064788 en_US
dc.personcode 000935 en_US
dc.personcode 0000022810 en_US
dc.personcode 0000064795 en_US
dc.personcode 0000064793 en_US
dc.percentage 100 en_US 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 20100821 en_US
dc.location.activity Toronto Canada en_US
dc.description.keywords image processing, contrast, optimisation, image colour analysis , image enhancement en_US

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