Super resolution neural network with multiple outputs with different upscaling factors
US11769226B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 26, 2021 |
| Grant date | Sep 26, 2023 |
| Priority date | — |
| Expiry date | Apr 14, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T3/4084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods upscale an input image by a final upscaling factor. The systems and methods employ a first module implementing a super resolution neural network with feature extraction layers and multiple sets of upscaling layers sharing the feature extraction layers. The multiple sets of upscaling layers upscale the input image according to different respective upscaling factors to produce respective first module outputs. The systems and methods select the first module output with the respective upscaling factor closest to the final upscaling factor. If the respective upscaling factor for the selected first module output is equal to the final upscaling factor, the systems and methods output the selected first module output. Otherwise, the systems and methods provide the selected first module output to a second module that upscales the selected first module output to produce a second module output corresponding to the input image upscaled by the final upscaling factor.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.