Image sharpness classification system
US8805112B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 24, 2010 |
| Grant date | Aug 12, 2014 |
| Priority date | — |
| Expiry date | Dec 9, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30168
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A method for predicting whether a test image (318) is sharp or blurred includes the steps of: providing a sharpness classifier (316) that is trained to discriminate between sharp and blurred images; computing a set of sharpness features (322) for the test image (318) by (i) generating a high pass image (404) from the test image (318), (ii) generating a band pass image (406) from the test image (318), (iii) identifying textured regions (408) in the high pass image, (iv) identifying texture regions (410) in the band pass image, and (v) evaluating the identified textured regions in the high pass image and the band pass image to compute the set of test sharpness features (412); and evaluating the sharpness features using the sharpness classifier (324) to estimate if the test image (318) is sharp or blurry (20).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.