Enhancing visual data using strided convolutions
US10582205B2 · kind B2 · utility
3Cited by
22References
20Claims
0Family size
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Key dates
| Filing date | Aug 18, 2017 |
| Grant date | Mar 3, 2020 |
| Priority date | — |
| Expiry date | Aug 18, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N19/87
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A method for enhancing at least a section of lower-quality visual data using a hierarchical algorithm, the method comprises receiving at least one section of lower-quality visual data; and extracting a subset of features, from the at least one section of lower-quality visual data. A plurality of layers of reduced-dimension visual data from the extracted features are formed and enhanced to form at least one section of higher-quality visual data. The at least one section of higher-quality visual data corresponds to the at least one section of lower-quality visual data received.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.