Regression-based learning model for image upscaling
US8655109B2 · kind B2 · utility
17Cited by
4References
20Claims
0Family size
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Key dates
| Filing date | Aug 2, 2012 |
| Grant date | Feb 18, 2014 |
| Priority date | — |
| Expiry date | Aug 4, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for a regression-based learning model in image upscaling are disclosed. In one embodiment, a set of image patch pairs for each of a set of images is generated. Each of the image patch pairs contains a natural image and a corresponding downscaled lower-resolution image. A regression model based at least in part on the set of image patch pairs is defined. The regression model represents a gradient of a function of the downscaled lower-resolution image. An image is upscaled based at least in part on the regression model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.