Lossless data embedding--new paradigm in digital watermarking
EURASIP Journal on Applied Signal Processing - Emerging applications of multimedia data hiding
Hide and Seek: An Introduction to Steganography
IEEE Security and Privacy
Cyber warfare: steganography vs. steganalysis
Communications of the ACM - Voting systems
An improved lossless data hiding scheme based on image VQ-index residual value coding
Journal of Systems and Software
Reversible data hiding exploiting spatial correlation between sub-sampled images
Pattern Recognition
Reversible watermarking algorithm using sorting and prediction
IEEE Transactions on Circuits and Systems for Video Technology
DE-based reversible data hiding with improved overflow location map
IEEE Transactions on Circuits and Systems for Video Technology
Lossless Data Embedding With High Embedding Capacity Based on Declustering for VQ-Compressed Codes
IEEE Transactions on Information Forensics and Security - Part 1
Reversible watermark using the difference expansion of a generalized integer transform
IEEE Transactions on Image Processing
Reversible data embedding into images using wavelet techniques and sorting
IEEE Transactions on Image Processing
Expansion Embedding Techniques for Reversible Watermarking
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
Reversible data embedding using a difference expansion
IEEE Transactions on Circuits and Systems for Video Technology
An improved image data hiding method using two-layer embedment strategy
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
Information Sciences: an International Journal
Adaptive reversible watermarking with improved embedding capacity
Journal of Systems and Software
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The stego image quality produced by the histogram-shifting based reversible data hiding technique is high; however, it often suffers from lower embedding capacity compared to other types of reversible data hiding techniques. In 2009, Tsai et al. solved this problem by exploiting the similarity of neighboring pixels to construct a histogram of prediction errors; data embedding is done by shifting the error histogram. However, Tsai et al.'s method does not fully exploit the correlation of the neighboring pixels. In this paper, a set of basic pixels is employed to improve the prediction accuracy, thereby increasing the payload. To further improve the image quality, a threshold is used to select only low-variance blocks to join the embedding process. According to the experimental results, the proposed method provides a better or comparable stego image quality than Tsai et al.'s method and other existing reversible data hiding methods under the same payload.