Method for restoring images and video using self-supervised learning
US11461881B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 25, 2020 |
| Grant date | Oct 4, 2022 |
| Priority date | — |
| Expiry date | Jan 29, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for processing images comprising: capturing a plurality of degraded images of a first real-world environment with a first sensor; processing each degraded image with a first, untrained convolutional neural network, via a Deep Image Prior approach, to obtain a plurality of clean images, wherein each clean image corresponds to a degraded image; pairing each clean image with its corresponding degraded image to create a plurality of degraded/clean image pairs; training, via a supervised learning approach, a machine learning model to learn a function for converting degraded images into restored images based on the plurality of degraded/clean image pairs; capturing a second plurality of degraded images of a second real-world environment; and using the trained machine learning model to convert the second plurality of degraded images into restored images based on the learned function.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.