Learned piece-wise patch regression for image enhancement
US9117262B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 30, 2012 |
| Grant date | Aug 25, 2015 |
| Priority date | — |
| Expiry date | Jul 6, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are provided for providing learned, piece-wise patch regression for image enhancement. In one embodiment, an image manipulation application generates training patch pairs that include training input patches and training output patches. Each training patch pair includes a respective training input patch from a training input image and a respective training output patch from a training output image. The training input image and the training output image include at least some of the same image content. The image manipulation application determines patch-pair functions from at least some of the training patch pairs. Each patch-pair function corresponds to a modification to a respective training input patch to generate a respective training output patch. The image manipulation application receives an input image generates an output image from the input image by applying at least some of the patch-pair functions based on at least some input patches of the input image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.