Video denoising using neural networks with spatial and temporal features
US11151695B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 26, 2019 |
| Grant date | Oct 19, 2021 |
| Priority date | — |
| Expiry date | Jan 31, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30232
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Some embodiments provide a method for processing a video that includes a sequence of images using a neural network. The method receives a set of video images as a set of inputs to successive executions of the neural network. The method executes the neural network for each successive video image of the set of video images to reduce an amount of noise in the video image by (i) identifying spatial features of the video image and (ii) storing a set of state data representing identified spatial features for use in identifying spatial features of subsequent video images in the set of video images. Identifying spatial features of a particular video image includes using the stored sets of spatial features of video images previous to the particular video image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.