Data Compression: The Complete Reference
Data Compression: The Complete Reference
Digital Image Processing
Hide and Seek: An Introduction to Steganography
IEEE Security and Privacy
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reliable detection of LSB steganography in color and grayscale images
MM&Sec '01 Proceedings of the 2001 workshop on Multimedia and security: new challenges
Reversible Watermark with Large Capacity Based on the Prediction Error Expansion
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
An Efficient Reversible Image Authentication Method
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Reversible data hiding exploiting spatial correlation between sub-sampled images
Pattern Recognition
Reversible data hiding using additive prediction-error expansion
Proceedings of the 11th ACM workshop on Multimedia and security
Reversible data hiding for high quality images using modification of prediction errors
Journal of Systems and Software
High capacity, reversible data hiding in medical images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Reversible Image Watermarking Based on Integer-to-Integer Wavelet Transform
IEEE Transactions on Information Forensics and Security - Part 1
Matrix embedding for large payloads
IEEE Transactions on Information Forensics and Security
Reversible watermark using the difference expansion of a generalized integer transform
IEEE Transactions on Image Processing
Lossless generalized-LSB data embedding
IEEE Transactions on Image Processing
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
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The embedding capacity of a histogram-based reversible data hiding technique is primarily determined by the peak height of the histogram. Recently, some studies have tried to embed data in the histogram of prediction errors by modifying the error values and have better embedding efficiency. However, these methods offer no selective embedment mechanism to exclude the positions where the modification in the embedding operation contributes no capacity but merely degrade the image quality. In this paper, a novel coding method for reversible data hiding is presented. A two-stage prediction algorithm that fully exploits the pixel correlations is employed to create more embeddable spaces, and a selective embedment mechanism is used to enhance the image quality. According to the experimental results, the proposed method achieved the highest payload while maintaining the lowest distortion for most standard test images, comparing to other existing histogram-shifting-based reversible data hiding techniques.