Bayesian image super resolution
US7106914B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 27, 2003 |
| Grant date | Sep 12, 2006 |
| Priority date | — |
| Expiry date | Apr 27, 2025 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T7/35
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An image super resolution system computes a high resolution image of a target from multiple low resolution images of the same target. Each low resolution image differs slightly in perspective from each of the other low resolution images. A coarse registration operation determines initial estimates of registration parameters (e.g., representing shifts and rotation in perspective) associated with each low resolution image. A fine registration operation improves the initial estimates using Bayesian analysis to infer the registration parameters and an acuity parameter. As such, a marginal likelihood of the low resolution images is optimized to determine the improved estimates of the registration parameters and the acuity parameter, which are used to solve for the high resolution image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.