Title
Hiding multiple images into a single image via joint compressive autoencoders
Abstract
•We propose a novel multi-image hiding method via joint deep autoencoder networks.•Our approach fundamentally avoids the quality trade-off to ensure high quality of image hiding.•We achieve flexible capacity with no compromise on the quality of container images.
Year
DOI
Venue
2022
10.1016/j.patcog.2022.108842
Pattern Recognition
Keywords
DocType
Volume
Image hiding,Neural networks,Deep learning,Compressive autoencoder
Journal
131
Issue
ISSN
Citations 
1
0031-3203
0
PageRank 
References 
Authors
0.34
5
7
Name
Order
Citations
PageRank
Liu Xiyao154.17
Ziping Ma201.69
Zhihong Chen300.34
Fangfang Li400.34
Ming Jiang500.34
Gerald Schaefer625530.81
Hui Fang700.34