A lossless data hiding scheme based on three-pixel block differences
Pattern Recognition
Histogram-based reversible data hiding technique using subsampling
Proceedings of the 10th ACM workshop on Multimedia and security
Reversible data hiding based on histogram modification of pixel differences
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
Reversible image watermarking using interpolation technique
IEEE Transactions on Information Forensics and Security
The Research of Image Segmentation Based on Improved Neural Network Algorithm
SKG '10 Proceedings of the 2010 Sixth International Conference on Semantics, Knowledge and Grids
Journal of Visual Communication and Image Representation
Digital camera zooming based on unified CFA image processing steps
IEEE Transactions on Consumer Electronics
Reversible watermark using the difference expansion of a generalized integer transform
IEEE Transactions on Image Processing
Binary Tree-based Generic Demosaicking Algorithm for Multispectral Filter Arrays
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
A Semi-Fragile Lossless Digital Watermarking Scheme Based on Integer Wavelet Transform
IEEE Transactions on Circuits and Systems for Video Technology
Improved Embedding for Prediction-Based Reversible Watermarking
IEEE Transactions on Information Forensics and Security - Part 2
Hierarchy-based reversible data hiding
Expert Systems with Applications: An International Journal
Adaptive reversible watermarking with improved embedding capacity
Journal of Systems and Software
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This paper tries to analyse a new framework in lossless data hiding research. Its key is how adaptively to get better difference image architectures for given applications. A unique sampled pattern is introduced and described in term of high-similar interpolation image. The proposed method updates a type of conventional algorithm, smoothly accesses to current reconstruction implementation, and outperforms solo weighing approach, particularly in the perceptual quality. Combinational weight factor can be adaptively adjusted by estimating interpolation errors around neighbor pixels. Seeking higher peak value in the difference-image is also our concerns. As an entire algorithm, reversible data hiding based on histogram-difference-shift is also reported. Simulations results demonstrate and verify that our approach is much effective than some recent methods with good generalization performance.