Coverless image steganography based on DenseNet feature mapping

Coverless image steganography based on DenseNet feature mapping

Abstract Since the concept of coverless information hiding was proposed, it has been greatly developed due to its effectiveness of resisting the steganographic tools. Most existing coverless image steganography (CIS) methods achieve excellent robustness under non-geometric attacks. However, they do...

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Bibliographic Details
Main Authors: Qiang Liu, Xuyu Xiang, Jiaohua Qin, Yun Tan, Yao Qiu
Format: Article
Language:English
Published: SpringerOpen 2020-09-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Coverless image steganography
Deep learning
DenseNet convolutional neural network
CNN features
Online Access:http://link.springer.com/article/10.1186/s13640-020-00521-7

Internet

http://link.springer.com/article/10.1186/s13640-020-00521-7

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