Invention Grant
- Patent Title: Determining intensity similarity in low-light conditions using the Poisson-quantization noise model
- Patent Title (中): 使用泊松量化噪声模型确定低光条件下的强度相似度
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Application No.: US11275265Application Date: 2005-12-21
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Publication No.: US07711047B2Publication Date: 2010-05-04
- Inventor: Yasuyuki Matsushita , Xiaoou Tang , Francois Alter
- Applicant: Yasuyuki Matsushita , Xiaoou Tang , Francois Alter
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Agency: Lee & Hayes, PLLC
- Main IPC: H04N7/18
- IPC: H04N7/18
Abstract:
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.
Public/Granted literature
- US20070147677A1 Determining Intensity Similarity in Low-Light Conditions Using the Poisson-Quantization Noise Model Public/Granted day:2007-06-28
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