Encoding data matrices into color channels of images using neural networks and deep learning
US12412310B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 7, 2022 |
| Grant date | Sep 9, 2025 |
| Priority date | — |
| Expiry date | Dec 23, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L2209/34
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Provided herein are systems and methods of encoding messages into images. At least one server can identify a first image having a first plurality of pixels in a color space having a set of channels. The at least one server can generate, using a message to encode in the first image, a data matrix identifying a plurality of values. The at least one server can apply a machine learning (ML) model comprising a plurality of convolutional layers to the first image and to the data matrix to generate a second image having a second plurality of pixels in the color space. The second image can correspond to the first image encoded with the data matrix across the set of channels in the color space.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.