Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이병욱 | * |
dc.contributor.author | 양세정 | * |
dc.date.accessioned | 2016-08-28T12:08:05Z | - |
dc.date.available | 2016-08-28T12:08:05Z | - |
dc.date.issued | 2011 | * |
dc.identifier.issn | 1057-7149 | * |
dc.identifier.other | OAK-7236 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/221320 | - |
dc.description.abstract | The majority of color histogram equalization methods do not yield uniform histogram in gray scale. After converting a color histogram equalized image into gray scale, the contrast of the converted image is worse than that of an 1-D gray scale histogram equalized image. We propose a novel 3-D color histogram equalization method that produces uniform distribution in gray scale histogram by defining a new cumulative probability density function in 3-D color space. Test results with natural and synthetic images are presented to compare and analyze various color histogram equalization algorithms based upon 3-D color histograms. We also present theoretical analysis for nonideal performance of existing methods. © 2011 IEEE. | * |
dc.language | English | * |
dc.title | A novel 3-D color histogram equalization method with uniform 1-D gray scale histogram | * |
dc.type | Article | * |
dc.relation.issue | 2 | * |
dc.relation.volume | 20 | * |
dc.relation.index | SCI | * |
dc.relation.index | SCIE | * |
dc.relation.index | SCOPUS | * |
dc.relation.startpage | 506 | * |
dc.relation.lastpage | 512 | * |
dc.relation.journaltitle | IEEE Transactions on Image Processing | * |
dc.identifier.doi | 10.1109/TIP.2010.2068555 | * |
dc.identifier.wosid | WOS:000286387700017 | * |
dc.identifier.scopusid | 2-s2.0-79551659501 | * |
dc.author.google | Han J.-H. | * |
dc.author.google | Yang S. | * |
dc.author.google | Lee B.-U. | * |
dc.contributor.scopusid | 이병욱(56124513700) | * |
dc.contributor.scopusid | 양세정(57215371253) | * |
dc.date.modifydate | 20240322125252 | * |