Hallucinating faces in curvelet
In this paper, we aim to enhance the resolution of a single face image. We introduce a method which utilizes the specific features of Curvelet to select training samples and estimate local face features. Based on different characteristics of Curvelet coarse and fine coefficients, we firstly set up t...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IADIS Press
2013
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| Subjects: | |
| Online Access: | http://www.cgv-conf.org/CGV_2013.pdf http://hdl.handle.net/20.500.11937/9173 |
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