Invention Grant
US07809155B2 Computing a higher resolution image from multiple lower resolution images using model-base, robust Bayesian estimation
有权
使用模型库,鲁棒的贝叶斯估计,从多个较低分辨率图像计算更高分辨率的图像
- Patent Title: Computing a higher resolution image from multiple lower resolution images using model-base, robust Bayesian estimation
- Patent Title (中): 使用模型库,鲁棒的贝叶斯估计,从多个较低分辨率图像计算更高分辨率的图像
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Application No.: US11479999Application Date: 2006-06-29
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Publication No.: US07809155B2Publication Date: 2010-10-05
- Inventor: Oscar Nestares , Horst W. Haussecker , Scott M. Ettinger , Michael P. Dierks , Prasanna G. Mulgaonkar
- Applicant: Oscar Nestares , Horst W. Haussecker , Scott M. Ettinger , Michael P. Dierks , Prasanna G. Mulgaonkar
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Blakely, Sokoloff, Taylor & Zafman LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K15/02 ; G06K9/32

Abstract:
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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