Computing a higher resolution image from multiple lower resolution images using model-base, robust Bayesian estimation
US7809155B2 · kind B2 · utility
28Cited by
15References
31Claims
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Key dates
| Filing date | Jun 29, 2006 |
| Grant date | Oct 5, 2010 |
| Priority date | — |
| Expiry date | Oct 23, 2028 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T3/4053
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A result higher resolution (HR) image of a scene given multiple, observed lower resolution (LR) images of the scene is computed using a Bayesian estimation image reconstruction methodology. The methodology yields the result HR image based on a Likelihood probability function that implements a model for the formation of LR images in the presence of noise. This noise is modeled by a probabilistic, non-Gaussian, robust function. The image reconstruction methodology may be used to enhance the image quality of images or video captured using a low resolution image capture device. Other embodiments are also described and claimed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.