Information Hiding Techniques for Steganography and Digital Watermarking
Information Hiding Techniques for Steganography and Digital Watermarking
Adaptive embedding techniques for VQ-compressed images
Information Sciences: an International Journal
Prediction-based reversible data hiding
Information Sciences: an International Journal
Hiding secret data in images via predictive coding
Pattern Recognition
High capacity SMVQ-based hiding scheme using adaptive index
Signal Processing
Reversible data hiding based on block median preservation
Information Sciences: an International Journal
High capacity data hiding schemes for medical images based on difference expansion
Journal of Systems and Software
Adaptive data hiding for vector quantization images based on overlapping codeword clustering
Information Sciences: an International Journal
IEEE Transactions on Multimedia
Side match and overlap match vector quantizers for images
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 Reversible Data Hiding Scheme Based on Side Match Vector Quantization
IEEE Transactions on Circuits and Systems for Video Technology
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Data hiding without loss of fidelity (also called reversible data hiding) allows an original image to be restored completely after extraction of hidden data embedded in a cover image. In this paper, we propose a reversible scheme based on mixed base notation and dissimilar pattern strategies for vector quantization (VQ) compressed images. The dissimilar patterns resulting from the declustering process make the proposed hiding method more efficient. Our experimental results show that the time required for the embedding process in the proposed method is much less than that in the side-matched VQ (SMVQ)-based reversible method. In addition, the use of declustering can reduce many more prediction errors than traditional clustering methods. The results also show that the number of declustered groups and the spatial characteristics of the cover image will affect the embedding capacity and the size of the stego VQ index table.