DE-Based Reversible Data Hiding With Improved Overflow Location Map
By Yongjian Hu, Heung-Kyu Lee, Jianwei Li. IEEE transactions on circuits and systems for video technology (Print), 2009
536 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/2a852f1904100cfcfd79108f72260512ee1424cf
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In Computer Vision and Pattern Recognition
Citations in the corpus
- Pairwise Prediction-Error Expansion for Efficient Reversible Data Hiding (2013, background): “[22] proposed an effective location map for PEE with smaller size, and thereby increased the capacity.”
- A Novel Reversible Data Hiding Scheme Based on Two-Dimensional Difference-Histogram Modification (2013, background): “It is worth mentioning that some recent works [18]–[21] can also be viewed as Tai et al.'s improvement.”
- Local-Prediction-Based Difference Expansion Reversible Watermarking (2014, methodology): “The median edge detector predictor (MED) used in [11] and [18], etc.”
- Efficient Reversible Watermarking Based on Adaptive Prediction-Error Expansion and Pixel Selection (2011, methodology): “Our presentation is based on the works of [13] and [14] with minor modification for simplicity.”
- 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.”
- Reversible data hiding: Advances in the past two decades (2016, background): “One is based on location map [26], [38] and the other one is based on”
- General Framework to Histogram-Shifting-Based Reversible Data Hiding (2013, methodology): “’s Method [19] Take n = 4 and for a 2 × 2 block x = (x1, x2, x3, x4) (see Fig.”