Neural network-based image processing
US10467729B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 12, 2017 |
| Grant date | Nov 5, 2019 |
| Priority date | — |
| Expiry date | Nov 6, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20132
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system for a deep learning-based approach to image processing to increase a level of optical zooming and increasing the resolution associated with a captured image. The system includes an image capture device to generate a display of a field of view (e.g., of a scene within a viewable range of a lens of the image capture device). An indication of a desired zoom level (e.g., 1.1× to 5×) is received, and, based on this selection, a portion of the field of view is cropped. In one embodiment, the cropped portion displayed by the image capture device for a user's inspection, prior to the capturing of a low resolution image. The low resolution image is provided to an artificial neural network trained to apply a resolution up-scaling model to transform the low resolution image to a high resolution image of the cropped portion.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.