Hiding multiple images into a single image via joint compressive autoencoders
作者：
Highlights：
• 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.
摘要
•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.
论文关键词：Image hiding,Neural networks,Deep learning,Compressive autoencoder
论文评审过程：Received 9 July 2021, Revised 29 March 2022, Accepted 9 June 2022, Available online 11 June 2022, Version of Record 14 June 2022.
论文官网地址：https://doi.org/10.1016/j.patcog.2022.108842
