Reversible Data Hiding in Encrypted Images by Reserving Room Before Encryption

By Kede Ma, Weiming Zhang, Xianfeng Zhao, Nenghai Yu, Fenghua Li. IEEE Transactions on Information Forensics and Security, 2013

835 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/fea72c40b7243ffde2ff75087c83369726688966

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Pauline Puteaux
2. William Puech
3. Zhenxing Qian
4. Xiaolong Li
5. Hao-Tian Wu
6. Bin Ma
7. Y. Shi
8. Xiaojie Guo

Citations in the corpus

• An Efficient MSB Prediction-Based Method for High-Capacity Reversible Data Hiding in Encrypted Images (2018, methodology): “Ma et al. were the first to describe a RRBE technique [12].”
• High Capacity Reversible Data Hiding in Encrypted Images by Patch-Level Sparse Representation (2016, methodology): “To overcome this drawback, the methods of reserving room before encryption (RRBE) are proposed [28], [29].”
• Reversible Data Hiding in Encrypted Images With Distributed Source Encoding (2016, methodology): “Although VRBE can achieve a higher payload, it requires that the sender must perform an extra RDH before image encryption.”
• Reversible data hiding: Advances in the past two decades (2016, methodology): “In [158], the embedding room is created in digital images by embedding LSBs of certain pixels into other pixels using a traditional RDH method.”