期刊论文

Qin, Jiaohua;Xiang, Xuyu

英文

Journal of Real-Time Image Processing

1861-8200

2020

17

1

125-135

10.1007/s11554-019-00917-3

This work is supported by the National Natural Science Foundation of China (No. 61772561), the Key Research and Development Plan of Hunan Province (Nos. 2018NK2012, 2019SK2022), the Science Research Projects of Hunan Provincial Education Department (Nos. 18A174, 18C0262), the Postgraduate Research and Innovation Project of Hunan Province (No.CX20190625), the Postgraduate Science and Technology Innovation Foundation of Central South University of Forestry and Technology (No. CX20192016), and Science and Technology Innovation Platform and Talent Plan of Hunan Province (No. 2017TP1022).

本校为第一且通讯机构

Information security has become a key issue of public concern recently. In order to radically resist the decryption and analysis in the field of image information hiding and significantly improve the security of the secret information, a novel coverless information hiding approach based on deep learning is proposed in this paper. Deep learning can select the appropriate carrier according to requirements to achieve real-time image data hiding and the high-level semantic features extracted by CNN are more accurate than the low-level features. Thi...