Method and system for large-capacity image steganography and recovery based on invertible neural networks
US11908037B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 18, 2021 |
| Grant date | Feb 20, 2024 |
| Priority date | — |
| Expiry date | Jun 18, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2201/0203
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides a method and system for large-capacity image steganography and recovery based on an invertible neural networks. The method is intended to embed one or more hidden images into a single host image, and recover all the hidden images from a stego image. The method designs an image steganography model that supports bidirectional mapping. The model includes cascaded invertible modules containing a host branch and a hidden branch. A hidden image is embedded into a host image through forward mapping to form a stego image, and the host image and the hidden image are separated and recovered from the single stego image through reverse mapping.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.