Reversible Image Watermarking Using Interpolation Technique

By Lixin Luo, Zhenyong Chen, Ming Chen, Xiao Zeng, Zhang Xiong. IEEE Transactions on Information Forensics and Security, 2010

662 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/651dc47b637b365aef360d79ea3fd9a3a287df54

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. Xinpeng Zhang
3. Y. Shi
4. Hao-Tian Wu
5. Bin Ma
6. Weiming Zhang
7. Xiaojie Guo
8. Xiaochun Cao

Citations in the corpus

• High Capacity Reversible Data Hiding in Encrypted Images by Patch-Level Sparse Representation (2016, methodology): “For lossless image recovery, the corresponding residual errors {ẽk}k=1 are reversibly embedded into the other nonselected pathes, which construct the area B, with a standard RDH algorithm [37].”
• 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.”
• Pairwise Prediction-Error Expansion for Efficient Reversible Data Hiding (2013, methodology): “EXPERIMENTAL RESULTS AND DISCUSSION In this section, the capacity-distortion performance of the proposed method is evaluated by comparing it with some stateof-the-art works including Luo et al. [25], Sachnev et al. [23], Dragoi and Coltuc [31] and Li et al. [29].”
• Reversible Data Hiding in Encrypted Image (2011, background): “Furthermore, various skills have been introduced into the typical reversible data hiding approaches to improve the performance [4]–[6].”
• 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.”
• Efficient Reversible Watermarking Based on Adaptive Prediction-Error Expansion and Pixel Selection (2011, methodology): “Luo et al. 's method [25] is based on interpolation where the interpolation-errors are expanded or shifted.”
• Reversible data hiding: Advances in the past two decades (2016, background): “to generate a more sharply distributed prediction-error histogram [40], [42], [49]–[51], [55], [69]–[77].”
• Efficient Reversible Data Hiding Based on Multiple Histograms Modification (2015, methodology): “Following Thodi and Rodriguez’s work, many RDH techniques related to PEE have been proposed in recent years, for example, double-layered embedding [31], [40], [41], adaptive embedding [40]–[43], context modification [32], optimal expansion bins selection [34], [44]–[47], and two-dimensional…”
• General Framework to Histogram-Shifting-Based Reversible Data Hiding (2013, methodology): “Proposed algorithm I Hu et al. Luo et al. Li et al. Hong Fig.”
• Reversible Data Hiding in Encrypted Images by Reserving Room Before Encryption (2013, methodology): “1) Image Partition: The operator here for reserving room before encryption is a standard RDH technique, so the goal of image partition is to construct a smoother area , on which standard RDH algorithms such as [10], [11] can achieve better performance.”