Reversible data hiding for high quality images using modification of prediction errors

By Wien Hong, Tung-Shou Chen, Chih-Wei Shiu. Journal of Systems and Software, 2009

354 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/08aaab4e573c15c96d0910dd90cc6cd58fdc121b

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. Xiaolong Li
2. Bin Yang
3. Weiming Zhang
4. Xinlu Gui
5. Bin Li
6. Nenghai Yu
7. Dinu Coltuc
8. Kede Ma

Citations in the corpus

• A Novel Reversible Data Hiding Scheme Based on Two-Dimensional Difference-Histogram Modification (2013, methodology): “Table III shows the comparisons of the ration of expanded pixels for: our method with different pixel-pair-selection thresholds , Lee et al.'s method [17] and its improved one presented in Section III-A, Hong et al.'s MED-based method [19], and Fallahpour's GAP-based method [18].”
• Reversibility improved data hiding in encrypted images (2014, background): “Some recent arts combined the three strategies to residuals of the image such as prediction errors (PE) [6 – 9] to achieve better performance.”
• General Framework to Histogram-Shifting-Based Reversible Data Hiding (2013, background): “Besides aforementioned works [11]–[13], [22], many HS-based RDH algorithms have also been proposed so far [23]–[31].”
• Efficient Reversible Data Hiding Based on Multiple Histograms Modification (2015, methodology): “In conclusion, compared with the state-of-the-art works [29], [35], [40], [44], [48], [49], [55], the superiority of the propose method is experimentally verified.”
• Efficient Reversible Watermarking Based on Adaptive Prediction-Error Expansion and Pixel Selection (2011, methodology): “For example, the context adaptive predictor median edge detector (MED [26]) is employed in many works [13]–[15]: if , if , otherwise, where , and are the right, lower and diagonal neighbors of (see Fig.”
• Improved Embedding for Prediction-Based Reversible Watermarking (2011, methodology): “2145372 using sharper histograms as, for instance, the histogram of adjacent pixels [4], [5], or, more generally, other prediction error histograms [6]–[10], etc.”