Image/video deblurring using convolutional neural networks with applications to SFM/SLAM with blurred images/videos
US11222409B2 · kind B2 · utility
1Cited by
3References
20Claims
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Key dates
| Filing date | May 6, 2020 |
| Grant date | Jan 11, 2022 |
| Priority date | — |
| Expiry date | May 6, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20201
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for correcting blur effects is presented. The method includes generating a plurality of images from a camera, synthesizing blurred images from sharp image counterparts to generate training data to train a structure-and-motion-aware convolutional neural network (CNN), and predicting a camera motion and a depth map from a single blurred image by employing the structure-and-motion-aware CNN to remove blurring from the single blurred image.
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