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COMPUTING A HIGHER RESOLUTION IMAGE FROM MULTIPLE LOWER RESOLUTION IMAGES USING MODEL-BASED, ROBUST BAYESIAN ESTIMATION
COMPUTING A HIGHER RESOLUTION IMAGE FROM MULTIPLE LOWER RESOLUTION IMAGES USING MODEL-BASED, ROBUST BAYESIAN ESTIMATION
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机译:使用基于模型的鲁棒贝叶斯估计,从多个较低分辨率的图像中计算较高分辨率的图像
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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. Other embodiments are also described and claimed.
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