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https://scholarbank.nus.edu.sg/handle/10635/41944
DC Field | Value | |
---|---|---|
dc.title | Automatic red-eye detection and removal | |
dc.contributor.author | Miao, X.-P. | |
dc.contributor.author | Sim, T. | |
dc.date.accessioned | 2013-07-04T08:39:34Z | |
dc.date.available | 2013-07-04T08:39:34Z | |
dc.date.issued | 2004 | |
dc.identifier.citation | Miao, X.-P.,Sim, T. (2004). Automatic red-eye detection and removal. 2004 IEEE International Conference on Multimedia and Expo (ICME) 2 : 1195-1198. ScholarBank@NUS Repository. | |
dc.identifier.isbn | 0780386035 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/41944 | |
dc.description.abstract | Red-eye is a very common problem in flash photography which can ruin a good photo by introducing color aberration into the subject's eyes. Previous methods to deal with this problem include special speedlight apparatus or flash mode that can reduce the red-eye effect, as well as post-capture red-eye correction software. This paper presents a new approach to detect and correct red-eye defects automatically by combining flash and non-flash digital images. It is suitable to be incorporated into compact digital cameras that support continuous shooting. Such a camera would eliminate red-eye immediately after image capture. Unlike existing approaches, our method is simple, fast and can recover the true color of the eyes. | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | COMPUTER SCIENCE | |
dc.description.sourcetitle | 2004 IEEE International Conference on Multimedia and Expo (ICME) | |
dc.description.volume | 2 | |
dc.description.page | 1195-1198 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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