Reversible Data Hiding Based on Histogram Modification of Pixel Differences
By Wei-Liang Tai, Chia-Ming Yeh, Chin-chen Chang. IEEE transactions on circuits and systems for video technology (Print), 2009
619 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/37b1364fad15394590af6e51eb3bd33677a7055c
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
Citations in the corpus
- Pairwise Prediction-Error Expansion for Efficient Reversible Data Hiding (2013, background): “, compression based algorithms [7]–[11], difference expansion (DE) based algorithms [12]–[16], histogram shifting (HS) based algorithms [17]–[19], prediction-error expansion (PEE) based algorithms [20]–[34] and integer-to-integer transform based algorithms [35]–[41], etc.”
- A Novel Reversible Data Hiding Scheme Based on Two-Dimensional Difference-Histogram Modification (2013, methodology): “It is worth mentioning that some recent works [18]–[21] can also be viewed as Tai et al.'s improvement.”
- High Capacity Reversible Data Hiding in Encrypted Images by Patch-Level Sparse Representation (2016, methodology): “Many RDH algorithms have already been developed, such as image compression-based [1], [2], difference expansionbased [3]–[7], histogram shift (HS)-based [8]–[11], image pixel pair based [12], [13], and dual/multi-image [14], [15] hiding methods.”
- 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].”