Efficient Reversible Watermarking Based on Adaptive Prediction-Error Expansion and Pixel Selection

By Xiaolong Li, Bin Yang, Tieyong Zeng. IEEE Transactions on Image Processing, 2011

738 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/807ea7a16c4a44531cbd0e4bd45ac4a4b3b9a7f4

How researchers see this paper

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

1. Xiaolong Li
2. Y. Shi
3. Ioan-Catalin Dragoi
4. Hao-Tian Wu
5. Xinpeng Zhang
6. Xinlu Gui
7. Bin Ma
8. Bo Ou

Citations in the corpus

• Pairwise Prediction-Error Expansion for Efficient Reversible Data Hiding (2013, methodology): “EXPERIMENTAL RESULTS AND DISCUSSION In this section, the capacity-distortion performance of the proposed method is evaluated by comparing it with some stateof-the-art works including Luo et al. [25], Sachnev et al. [23], Dragoi and Coltuc [31] and Li et al. [29].”
• A Novel Reversible Data Hiding Scheme Based on Two-Dimensional Difference-Histogram Modification (2013, methodology): “The main idea of this strategy is similar to those of pixel selection of our previous work [24] and error energy estimation of Hong [34].”
• Efficient Reversible Data Hiding Based on Multiple Histograms Modification (2015, methodology): “For example, by using median-edge-detector (MED [28]) or gradient-adjusted-predictor (GAP [42]) which is based on half-enclosing casual pixels for prediction, the decoder can inversely scan and process pixels to get the same prediction values.”
• General Framework to Histogram-Shifting-Based Reversible Data Hiding (2013, methodology): “Some HS-based algorithms such as the one based on adaptive embedding [20] and the location-map-free methods [24], [36] cannot be derived by the proposed framework.”
• Local-Prediction-Based Difference Expansion Reversible Watermarking (2014, background): “Besides [16], we compared the results provided by the local prediction on rhombus context with the ones available in some more recent papers [19], [26], [27], [29], [30], [32], and [33].”
• Reversibility improved data hiding in encrypted images (2014, methodology): “The first step generates a host sequence with small entropy, i.e., the host has a sharp histogram which usually can be realized by using PE combined with the sorting technique [10] or pixel selection [11].”
• Reversible data hiding: Advances in the past two decades (2016, background): “In some recent works [40], [44], [46], [48], [49], [54]–[60], the authors illustrated that combining adaptive embedding strategy such as sorting or pixel-selection with other reversible techniques such as PEE, can dramatically improve the embedding performance.”