发明申请
- 专利标题: SUPER RESOLUTION USING GAUSSIAN REGRESSION
- 专利标题(中): 使用高斯回归的超级分辨率
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申请号: US12112010申请日: 2008-04-30
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公开(公告)号: US20090274385A1公开(公告)日: 2009-11-05
- 发明人: Shenghuo Zhu , Mei Han , Yihong Gong
- 申请人: Shenghuo Zhu , Mei Han , Yihong Gong
- 申请人地址: US NJ Princeton
- 专利权人: NEC LABORATORIES AMERICA
- 当前专利权人: NEC LABORATORIES AMERICA
- 当前专利权人地址: US NJ Princeton
- 主分类号: G06K9/40
- IPC分类号: G06K9/40
摘要:
A computer implemented technique for producing super resolution images from ordinary images or videos containing a number of images wherein a number of non-smooth low resolution patches comprising an image are found using edge detection methodologies. The low resolution patches are then transformed using selected basis of a Radial Basis Function (RBF) and Gaussian process regression is used to generate high resolution patches using a trained model. The high resolution patches are then combined into a high resolution image or video.
公开/授权文献
- US07941004B2 Super resolution using gaussian regression 公开/授权日:2011-05-10
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