Point spread function classification using structural properties
US9530079B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 7, 2013 |
| Grant date | Dec 27, 2016 |
| Priority date | — |
| Expiry date | Mar 7, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20201
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for classifying a test image (16) includes the steps of building a classifier (300), and classifying the test image (16) with the classifier (300). After the test image (16) is classified, the test image (16) can be subsequently processed (e.g. deblurred) with improved accuracy. The classifier (300) can classify and distinguish between PSF features associated with motion blurred images, and PSF features associate with defocus blurred images. The classifier (300) can be built using a plurality of training images (304), and extracting one or more training features from each the training images (304). The PSF features can include image moments of the point spread function, and/or geometric features of the point spread function.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.