Device and method for detecting whether an image is blurred
US8538140B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 22, 2009 |
| Grant date | Sep 17, 2013 |
| Priority date | — |
| Expiry date | May 17, 2030 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N23/68
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
The present invention is directed to a method for detecting or predicting (302, 602) whether a test image is blurred. In one embodiment, the method includes extracting a training statistical signature (366) that is based on a plurality of data features (362, 364) from a training image set (14, 16), the training image set (14, 16) including a sharp image (14) and a blurry image (16); training a classifier (368) to discriminate between the sharp image (14) and the blurry image (16) based on the training statistical signature; and applying (302, 602) the trained classifier to a test image that is not included in the training image set (14, 16) to predict whether the test image is sharp (18) or blurry (20). The step of extracting can include measuring one or more statistical moments (576, 776) for various levels (L0-L5), estimating a covariance (577, 777) between adjacent levels (L0-L5), and/or extracting various metadata features (364, 664) from the images (14, 16). The step of training (300, 600) can include training a non-linear support vector machine (300) or a linear discriminant analysis (600) on the training statistical signature of the training image set (14, 16).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.