Image steganalysis based on deep learning
US10223780B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 15, 2015 |
| Grant date | Mar 5, 2019 |
| Priority date | — |
| Expiry date | Apr 15, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention provides a method for detecting image steganography based on deep learning, which comprises: filtering images having steganographic class label or true class label in a training set with a high-pass filter to obtain a training set including steganographic class residual images and true class residual images; training a deep network model on said training set to obtain a trained deep model for steganalysis; filtering the image to be detected with said high-pass filter to obtain a residual image to be detected; detecting said residual image to be detected on said deep model so as to determine whether said residual image to be detected is a steganographic image. The method for detecting image steganography in the present invention can create an automatic blind steganalysis model through feature learning and can identify steganographic images accurately.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.