Utilizing a colorization neural network to generate colorized images based on interactive color edges
US10997752B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 9, 2020 |
| Grant date | May 4, 2021 |
| Priority date | — |
| Expiry date | Mar 9, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20096
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing an edge prediction neural network and edge-guided colorization neural network to transform grayscale digital images into colorized digital images. In one or more embodiments, the disclosed systems apply a color edge prediction neural network to a grayscale image to generate a color edge map indicating predicted chrominance edges. The disclosed systems can present the color edge map to a user via a colorization graphical user interface and receive user color points and color edge modifications. The disclosed systems can apply a second neural network, an edge-guided colorization neural network, to the color edge map or a modified edge map, user color points, and the grayscale image to generate an edge-constrained colorized digital image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.