Pairwise Prediction-Error Expansion for Efficient Reversible Data Hiding

By Bo Ou, Xiaolong Li, Yao Zhao, R. Ni, Y. Shi. IEEE Transactions on Image Processing, 2013

536 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/4bdb1af4b8bb0a2f122fb4b65706bf89b5a774dc

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. Ioan-Catalin Dragoi
2. Pauline Puteaux
3. William Puech
4. Dinu Coltuc
5. Xiaolong Li
6. Xinpeng Zhang

Citations in the corpus

• An Efficient MSB Prediction-Based Method for High-Capacity Reversible Data Hiding in Encrypted Images (2018, methodology): “Methods are based on lossless compression appending, difference expansion [23], [24], histogram shifting [5], [15], [22] or a combination of these schemes [16], [21].”
• Local-Prediction-Based Difference Expansion Reversible Watermarking (2014, background): “approach recently proposed in [17] restricts the embedding at 3 bits/pair of pixels by eliminating the embedding of “1” into”
• High Capacity Reversible Data Hiding in Encrypted Images by Patch-Level Sparse Representation (2016, unknown): “Many RDH algorithms have already been developed, such as image compression-based [1], [2], difference expansion-based [3]–[7], histogram shift (HS)-based [8]–[11], image pixel pair based [12], [13], and dual/multi-image [14], [15] hiding methods.”