Reversible image hiding scheme using predictive coding and histogram shifting
By Piyu Tsai, Yu-Chen Hu, Hsiu-lien Yeh. Signal Processing, 2009
714 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/d75ee0e9039a693d53d3ade7e8c65e517c3e9775
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
- Xiaolong Li
- Bin Yang
- Weiming Zhang
- Ioan-Catalin Dragoi
- Xinlu Gui
- Joan V. Condell
- Abbas Cheddad
- Paul Mc Kevitt
Citations in the corpus
- Local-Prediction-Based Difference Expansion Reversible Watermarking (2014, background): “The histogram of a pixel based image feature (graylevel [3], pixel difference [4], prediction error [5], interpolation error [6]) is considered.”
- A Novel Reversible Data Hiding Scheme Based on Two-Dimensional Difference-Histogram Modification (2013, methodology): “PPM for illustrating the data embedding procedure for (a) Lee et al.'s method and (b) its improvement. significantly improve the image quality and EC of Tai et al.'s and some state-of-the-art works such as [37] and [38].”
- Digital image steganography: Survey and analysis of current methods (2010, methodology): “[36] divide the image into blocks of 5 5 where the residual image is calculated using linear prediction (another term for adjacent pixels’ difference).”
- Reversible Image Watermarking Using Interpolation Technique (2010, background): “Last, interpolation-errors are more expand-able than interpixel differences or prediction-errors, which will be explained in the following section.”
- 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.”