Vector quantization and signal compression
Vector quantization and signal compression
High-capacity image hiding scheme based on vector quantization
Pattern Recognition
Reversible hiding in DCT-based compressed images
Information Sciences: an International Journal
Lossless recovery of a VQ index table with embedded secret data
Journal of Visual Communication and Image Representation
Adaptive embedding techniques for VQ-compressed images
Information Sciences: an International Journal
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
Reversible data hiding based on histogram modification of pixel differences
IEEE Transactions on Circuits and Systems for Video Technology
High capacity SMVQ-based hiding scheme using adaptive index
Signal Processing
Journal of Visual Communication and Image Representation
Embedding capacity raising in reversible data hiding based on prediction of difference expansion
Journal of Systems and Software
Journal of Visual Communication and Image Representation
Lossless compression of VQ index with search-order coding
IEEE Transactions on Image Processing
Reversible watermark using the difference expansion of a generalized integer transform
IEEE Transactions on Image Processing
Fast Planar-Oriented Ripple Search Algorithm for Hyperspace VQ Codebook
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
An adaptive prediction-error expansion oriented reversible information hiding scheme
Pattern Recognition Letters
Hi-index | 0.08 |
In this paper, we propose a novel reversible data-hiding scheme in the index tables of the vector quantization (VQ) compressed images based on index mapping mechanism. On the sender side, the VQ indices with zero occurrence numbers in a given index table of an image are utilized to construct a series of index mappings together with some indices with the largest occurrence numbers. The indices in each constructed mapping correspond to the full binary representations with the length of the mapping bit number. Through the mapping optimization by index histogram, the optimal vector of mapping bit numbers can be obtained, which leads to the highest hiding capacity. Data embedding procedure can be easily achieved by the simple index substitutions according the current subset of secret bits for hiding. The same index mappings reconstructed on the receiver side ensure the correctness of secret data extraction and the lossless recovery of index table. Experimental results demonstrate the effectiveness of the proposed scheme.