Retouching digital images utilizing separate deep-learning neural networks
US11521299B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 16, 2020 |
| Grant date | Dec 6, 2022 |
| Priority date | — |
| Expiry date | Feb 26, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30201
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to an image retouching system that automatically retouches digital images by accurately correcting face imperfections such as skin blemishes and redness. For instance, the image retouching system automatically retouches a digital image through separating digital images into multiple frequency layers, utilizing a separate corresponding neural network to apply frequency-specific corrections at various frequency layers, and combining the retouched frequency layers into a retouched digital image. As described herein, the image retouching system efficiently utilizes different neural networks to target and correct skin features specific to each frequency layer.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.