Automated statistical self-calibrating detection and removal of blemishes in digital images based on multiple occurrences of dust in images
US7369712B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 30, 2003 |
| Grant date | May 6, 2008 |
| Priority date | — |
| Expiry date | May 8, 2026 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/10
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A method automatically corrects dust artifact within images acquired by a system including a digital acquisition device including a lens assembly. Multiple original digital images are acquired with the digital acquisition device. Probabilities that certain pixels correspond to dust artifact regions within the images are determined based at least in part on a comparison of suspected dust artifact regions within two or more of the images. Probable dust artifact regions are associated with extracted parameter values relating to the lens assembly when the images were acquired. A statistical dust map is formed including mapped dust regions based on the determining and associating. Pixels corresponding to correlated dust artifact regions are corrected within further digitally-acquired images based on the associated statistical dust map.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.