Separable Reversible Data Hiding in Encrypted Image
By Xinpeng Zhang. IEEE Transactions on Information Forensics and Security, 2012
886 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/e2b8ce23fcdaded1f11c455febc7fe69594371f4
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
- Pauline Puteaux
- William Puech
- Xinpeng Zhang
- Zhenxing Qian
- Xiaolong Li
- Weiming Zhang
- Nenghai Yu
- Kede Ma
Citations in the corpus
- An Improved Reversible Data Hiding in Encrypted Images Using Side Match (2012, background): “For example , [9] and [10] encrypt the cover image before embedding is actually performed.”
- Reversible Data Hiding in Encrypted Images With Distributed Source Encoding (2016, methodology): “With [7]–[10] and [12], the maximal embedding rates are merely 0.”
- An Efficient MSB Prediction-Based Method for High-Capacity Reversible Data Hiding in Encrypted Images (2018, methodology): “They encrypted the original image in the same way as Zhang in [31] and, according to a data hiding key, selected some pixels to conceal data by histogram shifting.”
- High Capacity Reversible Data Hiding in Encrypted Images by Patch-Level Sparse Representation (2016, methodology): “view, Zhang [25] proposed a novel scheme for separable RDHEIs.”
- Reversibility improved data hiding in encrypted images (2014, methodology): “These techniques can only achieve low embedding capacity (achievable largest embedding rate) [22,23] or generate marked image with poor quality for high embedding capacity [24] and all of them are subject to some errors on data extraction and/or image restoration.”
- Reversible Data Hiding in Encrypted Images by Reserving Room Before Encryption (2013, methodology): “PSNR comparison with the methods of Zhang [16], Hong [17] and Zhang [18].”
- Reversible data hiding: Advances in the past two decades (2016, methodology): “This method [171] ignites researchers’ passion again [173]–[179].”