发明授权
- 专利标题: Method and system for learning-based quality assessment of images
- 专利标题(中): 图像学习质量评估方法与系统
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申请号: US11029913申请日: 2005-01-04
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公开(公告)号: US07545985B2公开(公告)日: 2009-06-09
- 发明人: Hong-Jiang Zhang , Ming Jing Li , Wei-Ying Ma
- 申请人: Hong-Jiang Zhang , Ming Jing Li , Wei-Ying Ma
- 申请人地址: US WA Redmond
- 专利权人: Microsoft Corporation
- 当前专利权人: Microsoft Corporation
- 当前专利权人地址: US WA Redmond
- 代理机构: Perkins Coie LLP
- 主分类号: G06K9/62
- IPC分类号: G06K9/62
摘要:
A method and system for learning-based assessment of the quality of an image is provided. An image quality assessment system trains an image classifier based on a training set of sample images that have quality ratings. To train the classifier, the assessment system generates a feature vector for each sample image representing various attributes of the image. The assessment system may train the classifier using an adaptive boosting technique to calculate a quality score for an image. Once the classifier is trained, the assessment system may calculate the quality of an image by generating a feature vector for that image and applying the trained classifier to the feature vector to calculate the quality score for the image.
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