Video deblurring using neural networks
US10534998B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 10, 2019 |
| Grant date | Jan 14, 2020 |
| Priority date | — |
| Expiry date | Apr 10, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20201
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems are provided for deblurring images. A neural network is trained where the training includes selecting a central training image from a sequence of blurred images. An earlier training image and a later training image are selected based on the earlier training image preceding the central training image in the sequence and the later training image following the central training image in the sequence and based on proximity of the images to the central training image in the sequence. A training output image is generated by the neural network from the central training image, the earlier training image, and the later training image. Similarity is evaluated between the training output image and a reference image. The neural network is modified based on the evaluated similarity. The trained neural network is used to generate a deblurred output image from a blurry input image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.