Systems and methods for training an active random field for real-time image denoising
US8866936B2 · kind B2 · utility
5Cited by
6References
20Claims
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Key dates
| Filing date | Jul 23, 2009 |
| Grant date | Oct 21, 2014 |
| Priority date | — |
| Expiry date | Jul 22, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20081
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
An Active Random Field is presented, in which a Markov Random Field (MRF) or a Conditional Random Field (CRF) is trained together with a fast inference algorithm using pairs of input and desired output and a benchmark error measure.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.