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    Hallucinating faces in curvelet

    Access Status
    Fulltext not available
    Authors
    Xu, Xiang
    Liu, Wan-Quan
    Li, Ling
    Date
    2013
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Xu, Xiang and Liu, Wanquan and Li, Ling. 2013. Hallucinating faces in curvelet, in Xao, Y. (ed), Proceedings of the IADIS International conference: Computer Graphics, Visulization, Computer Vision and Image Processing, Jul 22-24 2013, pp. 35-43. Prague: IADIS Press.
    Source Title
    IADIS Int Cnf on Computer Graphics, Visualisation, Computer Vision and Image Processing 2013
    Source Conference
    CGVCVIP 2013
    Additional URLs
    http://www.cgv-conf.org/CGV_2013.pdf
    ISBN
    9789728939892
    URI
    http://hdl.handle.net/20.500.11937/9173
    Collection
    • Curtin Research Publications
    Abstract

    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 training sets for global face enhancement and local features estimation separately. Secondly, global faces are derived by employing sparse representation technique. Thirdly, we transfer the low-resolution local features into Curvelet frequency domain and infer the relationship of Curvelet coefficients between testing images and training images. Through the learning process, the Curvelet coefficients of the high-resolution local features can be derived. Finally, the high-resolution local features are generated through Inverse Discrete Curvelet Transformation, which are then combined with the global face to produce the final hallucinated face. Experiment demonstrates that our approach outperforms other approaches.

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