A Larger Capacity Data Hiding Scheme Based on DNN

With the in-depth research in data hiding technology, the latest data hiding schemes using deep neural network (DNN) could hide the full-size color image into the same size color image. This paper proposed a larger capacity data hiding scheme based on DNN, which could hide large-size color image int...

Full description

Saved in:
Bibliographic Details
Published in:Wireless communications and mobile computing 2022-03, Vol.2022, p.1-12
Main Authors: Liu, Lianshan, Meng, Lingzhuang, Zheng, Weimin, Peng, Yanjun, Wang, Xiaoli
Format: Article
Language:English
Subjects:
Artificial neural networks
Color imagery
Comparative analysis
Deep learning
Neural networks
Special effects
Visual effects
Wavelet transforms
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:With the in-depth research in data hiding technology, the latest data hiding schemes using deep neural network (DNN) could hide the full-size color image into the same size color image. This paper proposed a larger capacity data hiding scheme based on DNN, which could hide large-size color image into small-size color image. This scheme used DNN in both the data hiding stage and data extraction stage. And the two networks were obtained through adversarial training and used in pairs. The information ratio between the carrier image and the secret image had reached 1 : 4. The image obtained after hiding the data did not change much compared with the carrier image, and the extracted image had the same size and no visual difference compared with the secret image. It could be seen from the simulation experiment that, compared with the existing DNN-based data hiding scheme, even if the capacity of the proposed scheme was 4 times larger than that of the existing scheme, the visual effect and PSNR were also better than some existing schemes.
ISSN:1530-8669
1530-8677
DOI:10.1155/2022/5425674