Unsupervised learning approach for video deblurring
US10593020B2 · kind B2 · utility
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Key dates
| Filing date | Feb 2, 2018 |
| Grant date | Mar 17, 2020 |
| Priority date | — |
| Expiry date | Aug 6, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An image processing method extracts consecutive input blurry frames from a video, and generates sharp frames corresponding to the input blurry frames. An optical flow is determined between the sharp frames, and the optical flow is used to compute a per-pixel blur kernel. The blur kernel is used to reblur each of the sharp frames into a corresponding re-blurred frame. The re-blurred frame is used to fine-tune the deblur network by minimizing the distance between the re-blurred frame and the input blurry frame.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.