Device and method for estimating whether an image is blurred
US8472744B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | May 26, 2009 |
| Grant date | Jun 25, 2013 |
| Priority date | — |
| Expiry date | Jul 11, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30168
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A method for estimating whether an image (14) is either blurred or sharp includes the steps of (i) determining an image gradient histogram distrbution (410) of at least a portion of the image (14), (ii) comparing at least a portion of the image gradient histogram distribution (410) to a Gaussian model (414), and (iii) estimating a defocus blur size of at least a portion of the image (14) Additional methods for evaluating whether the image (14) has motion blur are provided herein For example, a dominant gradient orientation can be detected by histogram analysis (716), and the dominant gradient orientation (718) can be used to determine a possible motion blur direction (720) Alternatively, a dominant gradient orientation can be detected using principal component analysis (“PCA”) on the image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.