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1.发明授权Determining intensity similarity in low-light conditions using the Poisson-quantization noise model 失效使用泊松量化噪声模型确定低光条件下的强度相似度公开(公告)号：US07711047B2
公开(公告)日：2010-05-04
申请号：US11275265
申请日：2005-12-21
申请人： Yasuyuki Matsushita , Xiaoou Tang , Francois Alter
发明人： Yasuyuki Matsushita , Xiaoou Tang , Francois Alter
IPC分类号： H04N7/18
摘要： A Poisson-quantization noise model for modeling noise in low-light conditions is described. In one aspect, image information is received. A Poisson-quantization noise model is then generated from a Poisson noise model and a quantization noise model. Poisson-quantization noise is then estimated in the image information using the Poisson-quantization noise model.
摘要翻译： 描述了用于在低光条件下建模噪声的泊松量化噪声模型。 一方面，接收图像信息。 然后从泊松噪声模型和量化噪声模型生成泊松量化噪声模型。 然后使用泊松量化噪声模型在图像信息中估计泊松量化噪声。
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2.发明申请Determining Intensity Similarity in Low-Light Conditions Using the Poisson-Quantization Noise Model 审中-公开使用泊松量化噪声模型确定低光条件下的强度相似性公开(公告)号：US20100303367A1
公开(公告)日：2010-12-02
申请号：US12772690
申请日：2010-05-03
申请人： Yasuyuki Matsushita , Xiaoou Tang , Francois Alter
发明人： Yasuyuki Matsushita , Xiaoou Tang , Francois Alter
IPC分类号： G06K9/68
摘要： A Poisson-quantization noise model for modeling noise in low-light conditions is described. In one aspect, image information is received. A Poisson-quantization noise model is then generated from a Poisson noise model and a quantization noise model. Poisson-quantization noise is then estimated in the image information using the Poisson-quantization noise model.
摘要翻译： 描述了用于在低光条件下建模噪声的泊松量化噪声模型。 一方面，接收图像信息。 然后从泊松噪声模型和量化噪声模型生成泊松量化噪声模型。 然后使用泊松量化噪声模型在图像信息中估计泊松量化噪声。
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3.发明申请Determining Intensity Similarity in Low-Light Conditions Using the Poisson-Quantization Noise Model 失效使用泊松量化噪声模型确定低光条件下的强度相似性公开(公告)号：US20070147677A1
公开(公告)日：2007-06-28
申请号：US11275265
申请日：2005-12-21
申请人： Yasuyuki Matsushita , Xiaoou Tang , Francois Alter
发明人： Yasuyuki Matsushita , Xiaoou Tang , Francois Alter
IPC分类号： G06K9/62
摘要： A Poisson-quantization noise model for modeling noise in low-light conditions is described. In one aspect, image information is received. A Poisson-quantization noise model is then generated from a Poisson noise model and a quantization noise model. Poisson-quantization noise is then estimated in the image information using the Poisson-quantization noise model.
摘要翻译： 描述了用于在低光条件下建模噪声的泊松量化噪声模型。 一方面，接收图像信息。 然后从泊松噪声模型和量化噪声模型生成泊松量化噪声模型。 然后使用泊松量化噪声模型在图像信息中估计泊松量化噪声。
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