Device based on machine learning
US12086956B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 9, 2022 |
| Grant date | Sep 10, 2024 |
| Priority date | — |
| Expiry date | Mar 12, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30196
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An image processing device includes a convolutional neural network (CNN) architecture configured to perform at least one of denoising, deblurring, dehazing, and color correction on an input. The input comprises a plurality of low-quality input images having different exposure values captured for the same object at the same time by a camera under display (CUD) to render a high-quality output image. The CNN architecture is trained using a set of training images including a plurality of low-quality training images having different exposure values and a high-quality training image corresponding to the plurality of low-quality training images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.