Invention Grant
- Patent Title: Super resolution using gaussian regression
- Patent Title (中): 超分辨率使用高斯回归
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Application No.: US12112010Application Date: 2008-04-30
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Publication No.: US07941004B2Publication Date: 2011-05-10
- Inventor: Shenghuo Zhu , Mei Han , Yihong Gong
- Applicant: Shenghuo Zhu , Mei Han , Yihong Gong
- Applicant Address: US NJ Princeton
- Assignee: NEC Laboratories America, Inc.
- Current Assignee: NEC Laboratories America, Inc.
- Current Assignee Address: US NJ Princeton
- Agent Jeffery Brosemer; Joseph Kolodka
- Main IPC: G06K9/32
- IPC: G06K9/32 ; G09G5/00

Abstract:
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.
Public/Granted literature
- US20090274385A1 SUPER RESOLUTION USING GAUSSIAN REGRESSION Public/Granted day:2009-11-05
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