Transforming grayscale images into color images using deep neural networks
US11087504B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 21, 2018 |
| Grant date | Aug 10, 2021 |
| Priority date | — |
| Expiry date | Aug 29, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for transforming grayscale images into color images using deep neural networks are described. One of the systems include one or more computers and one or more storage devices storing instructions that, when executed by one or more computers, cause the one or more computers to implement a coloring neural network, a refinement neural network, and a subsystem. The coloring neural network is configured to receive a first grayscale image having a first resolution and to process the first grayscale image to generate a first color image having a second resolution lower than the first resolution. The subsystem processes the first color image to generate a set of intermediate image outputs. The refinement neural network is configured to receive the set intermediate image outputs, and to process the set of intermediate image outputs to generate a second color image having a third resolution higher than the second resolution.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.