专利名称：Computing a higher resolution image from
multiple lower resolution images usingmodel-base, robust bayesian estimation
发明人：Oscar Nestares,Horst W. Haussecker,Scott
M. Ettinger,Michael P. Dierks,Prasanna G.Mulgaonkar
申请号：US11479999申请日：20060629
公开号：US20070019887A1公开日：20070125
专利附图：
摘要：A result higher resolution (HR) image of a scene given multiple, observed lowerresolution (LR) images of the scene is computed using a Bayesian estimation imagereconstruction methodology. The methodology yields the result HR image based on aLikelihood probability function that implements a model for the formation of LR imagesin the presence of noise. This noise is modeled by a probabilistic, non-Gaussian, robustfunction. The image reconstruction methodology may be used to enhance the imagequality of images or video captured using a low resolution image capture device. Otherembodiments are also described and claimed.
申请人：Oscar Nestares,Horst W. Haussecker,Scott M. Ettinger,Michael P.Dierks,Prasanna G. Mulgaonkar
地址：Cupertino CA US,Palo Alto CA US,Mountain View CA US,San Francisco CAUS,Saratoga CA US
国籍：US,US,US,US,US
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