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 Xiyao | 1 | 5 | 4.17 |
Ziping Ma | 2 | 0 | 1.69 |
Zhihong Chen | 3 | 0 | 0.34 |
Fangfang Li | 4 | 0 | 0.34 |
Ming Jiang | 5 | 0 | 0.34 |
Gerald Schaefer | 6 | 255 | 30.81 |
Hui Fang | 7 | 0 | 0.34 |