Cyber warfare: steganography vs. steganalysis
Communications of the ACM - Voting systems
A Minimal Euclidean Distance Searching Technique for Sudoku Steganography
ISISE '08 Proceedings of the 2008 International Symposium on Information Science and Engieering - Volume 01
Reversible data hiding exploiting spatial correlation between sub-sampled images
Pattern Recognition
Reversible data hiding for high quality images using modification of prediction errors
Journal of Systems and Software
DE-based reversible data hiding with improved overflow location map
IEEE Transactions on Circuits and Systems for Video Technology
Expansion Embedding Techniques for Reversible Watermarking
IEEE Transactions on Image Processing
Reversible data embedding using a difference expansion
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Adaptive reversible data hiding scheme based on integer transform
Signal Processing
Human visual system based data embedding method using quadtree partitioning
Image Communication
Improving the visual quality of random grid-based visual secret sharing
Signal Processing
Reversible data hiding in encrypted images using pseudorandom sequence modulation
IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking
An Improved Reversible Data Hiding Scheme Based On Neighboring Pixel Differences
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
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The payload of a histogram-shifting based reversible data hiding technique is primarily determined by the peak height of the corresponding image histogram. It is known that the peak height of the prediction error histogram is usually higher than that of image histogram itself. In 2009, Tsai et al. adopted the idea of histogram-shifting technique and embedded message by modifying the prediction errors to achieve a higher payload. They used a block-based approach and leaved some pixel values unmodified to predict other pixel values in a block. However, the unmodified pixels took up some embeddable space, causing a reduction in payload. In this paper, a new reversible data hiding technique based on prediction error modification is proposed. The orthogonal projection technique is employed to estimate the optimal weights of a linear predictor to increase the prediction accuracy and the embedding capacity. The experimental results revealed that the proposed method outperformed the existing histogram-shifting based reversible data hiding technique in terms of payload and image quality.