Please use this identifier to cite or link to this item: http://103.99.128.19:8080/xmlui/handle/123456789/149
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dc.contributor.authorMd. Moniruzzaman, Md. Shafuzzaman and Md. Foisal Hossain-
dc.date.accessioned2018-10-04T11:06:24Z-
dc.date.available2018-10-04T11:06:24Z-
dc.date.issued2014-04-07-
dc.identifier.urihttp://103.99.128.10:8080/xmlui/handle/123456789/149-
dc.description.abstractImage contrast enhancement is required to improve the visual appearance of the image. Histogram is an important tool for image processing. By equalizing the histogram the contrast of an image can be increased. A widely known contrast enhancement technique is histogram equalization (HE). In this paper, a histogram equalization technique has been proposed for image contrast enhancement. The input image is divided into multiple regions and each region is mapped into output region to get the equalized histogram. The proposed method is capable of preserving and maintaining the brightness and the quality of the image. The proposed method also brings out the edges which were not in the input image. Using some performance measuring tools, the proposed technique has been compared with other existing methods. From the experimental results it can be seen that the proposed technique dominates over other existing methods.en_US
dc.language.isoenen_US
dc.publisherDept. of DEEen_US
dc.relation.ispartofseries642;-
dc.subjectcontrast enhancement, histogram, histogram equalization, image brightness.en_US
dc.titleMultiple Regions Based Histogram Equalizationen_US
dc.typeArticleen_US
Appears in Collections:Proceedings of DEE

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