A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information hiding based on search-order coding for VQ indices
Pattern Recognition Letters
Adaptive Data Hiding Based on SMVQ Prediction
IEICE - Transactions on Information and Systems
Lossless recovery of a VQ index table with embedded secret data
Journal of Visual Communication and Image Representation
An embedding technique based upon block prediction
Journal of Systems and Software
Reversible information hiding for VQ indices based on locally adaptive coding
Journal of Visual Communication and Image Representation
Reversible data hiding of a VQ index table based on referred counts
Journal of Visual Communication and Image Representation
Data hiding based on compressed VQ indices of images
Computer Standards & Interfaces
Lossless Data Embedding With High Embedding Capacity Based on Declustering for VQ-Compressed Codes
IEEE Transactions on Information Forensics and Security - Part 1
Hidden digital watermarks in images
IEEE Transactions on Image Processing
Optimal differential energy watermarking of DCT encoded images and video
IEEE Transactions on Image Processing
A wavelet-based watermarking algorithm for ownership verification of digital 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
Reversible Data Hiding Scheme Based on Image Inpainting
Fundamenta Informaticae
Histogram-shifting-imitated reversible data hiding
Journal of Systems and Software
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This work presents a novel reversible data-hiding scheme that embeds secret data into a transformed image and achieves lossless reconstruction of vector quantization (VQ) indices. The VQ compressed image is modified by the side-matched VQ scheme to yield a transformed image. Distribution of the transformed image is employed to achieve high embedding capacity and a low bit rate. Moreover, three configurations, under-hiding, normal-hiding, and over-hiding schemes, are utilized to improve the proposed scheme further for various applications. Experimental results demonstrate that the proposed scheme significantly enhances the compression ratio and embedding capacity. Experimental results also show that the proposed scheme achieves the best performance among approaches in literature in terms of the compression ratio and embedding capacity.