Reversible Image Watermarking Based on Integer-to-Integer Wavelet Transform

By Sunil Lee, Chang-Dong Yoo, Ton Kalker. IEEE Transactions on Information Forensics and Security, 2007

448 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/a74a2d4b04663b5e175379cc1876deca540c9687

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. Dinu Coltuc
5. Y. Shi
6. Xinlu Gui
7. Hao-Tian Wu
8. Bin Ma

Citations in the corpus

• Efficient Reversible Data Hiding Based on Multiple Histograms Modification (2015, methodology): “…received much attention from the information hiding community and this technique has also been applied in some applications such as image authentication [3], [4], medical image processing [5]–[7], multimedia archive management [8], image trans-coding [9], and data coloring in the cloud [10], etc.”
• DE-Based Reversible Data Hiding With Improved Overflow Location Map (2009, methodology): “[13] performed the LSB-substitution and bit-shifting to embed data bits into the wavelet coefficients derived from an integer-to-integer wavelet transform.”
• Reversible Data Hiding Based on Histogram Modification of Pixel Differences (2009, unknown): “Reversible data hiding techniques have also been proposed for various fields such as audio [12], MPEG-2 video [13], 3-D meshes [14], visible watermarking [15], SMVQ-based compressed domain [16], and the integer-to-integer wavelet domain [17].”
• Reversible data hiding: Advances in the past two decades (2016, methodology): “In addition, a sorting strategy is also used in [40] for performance enhancement, and this method works rather well with an improved performance compared with the prior arts [36], [53], [67].”
• Improved Embedding for Prediction-Based Reversible Watermarking (2011, background): “It should be noticed that the scheme of Sachnev et al. provides lower distortion than the ones of [13], [17], [24], [28], etc.”
• Reversible Watermarking Algorithm Using Sorting and Prediction (2009, methodology): “The combined use of the rhombus prediction scheme, sorting, histogram shift method, and, as result, small size of location map produces relatively superior results compared to existing schemes [7], [9], [14].”
• 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.”