发明名称 |
Computing a higher resolution image from multiple lower resolution images using model-base, robust Bayesian estimation |
摘要 |
A result higher resolution (HR) image of a scene given multiple, observed lower resolution (LR) images of the scene is computed using a Bayesian estimation image reconstruction methodology. The methodology yields the result HR image based on a Likelihood probability function that implements a model for the formation of LR images in the presence of noise. This noise is modeled by a probabilistic, non-Gaussian, robust function. The image reconstruction methodology may be used to enhance the image quality of images or video captured using a low resolution image capture device. Other embodiments are also described and claimed.
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申请公布号 |
US7809155(B2) |
申请公布日期 |
2010.10.05 |
申请号 |
US20060479999 |
申请日期 |
2006.06.29 |
申请人 |
INTEL CORPORATION |
发明人 |
NESTARES OSCAR;HAUSSECKER HORST W.;ETTINGER SCOTT M.;DIERKS MICHAEL P.;MULGAONKAR PRASANNA G. |
分类号 |
G06K9/00;G06K9/32;G06K15/02 |
主分类号 |
G06K9/00 |
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