Method and system for a high-frequency attention network for efficient single image super-resolution
US12169913B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Feb 10, 2022 |
| Grant date | Dec 17, 2024 |
| Priority date | — |
| Expiry date | Mar 6, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Example aspects include techniques for implementing a high-frequency attention network for single image super-resolution. These techniques may include extracting a plurality of features from an original image input into a CNN to generate a feature map, and restoring one or more high-frequency details of the original image via an efficient residual block (ERB) and a high-frequency attention block (HFAB) configured to assign a scaling factor to one or more high-frequency areas. In addition, the techniques may include generating reconstruction input information by performing an element-wise operation on the one or more high-frequency details and cross-connection information from the feature map and performing, by the CNN, an enhancement operation on the reconstruction input information to generate an enhanced image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.