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:	Artigo
Language:	Inglês
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
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