Please use this identifier to cite or link to this item: https://doi.org/10.1109/CVPR.2010.5540170
DC FieldValue
dc.titleCorrecting over-exposure in photographs
dc.contributor.authorGuo, D.
dc.contributor.authorCheng, Y.
dc.contributor.authorZhuo, S.
dc.contributor.authorSim, T.
dc.date.accessioned2013-07-04T08:36:44Z
dc.date.available2013-07-04T08:36:44Z
dc.date.issued2010
dc.identifier.citationGuo, D., Cheng, Y., Zhuo, S., Sim, T. (2010). Correcting over-exposure in photographs. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition : 515-521. ScholarBank@NUS Repository. https://doi.org/10.1109/CVPR.2010.5540170
dc.identifier.isbn9781424469840
dc.identifier.issn10636919
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41826
dc.description.abstractThis paper introduces a method to correct over-exposure in an existing photograph by recovering the color and lightness separately. First, the dynamic range of well exposed region is slightly compressed to make room for the recovered lightness of the over-exposed region. Then the lightness is recovered based on an over-exposure likelihood. The color of each pixel is corrected via neighborhood propagation and also based on the confidence of the original color. Previous methods make use of ratios between different color channels to recover the over-exposed ones, and thus can not handle regions where all three channels are over-exposed. In contrast, our method does not have this limitation. Our method is fully automatic and requires only one single input photo. We also provide users with the flexibility to control the amount of over-exposure correction. Experiment results demonstrate the effectiveness of the proposed method in correcting over-exposure. ©2010 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/CVPR.2010.5540170
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1109/CVPR.2010.5540170
dc.description.sourcetitleProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
dc.description.page515-521
dc.description.codenPIVRE
dc.identifier.isiut000287417500066
Appears in Collections:Staff Publications

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