Information hiding based on search-order coding for VQ indices
Pattern Recognition Letters
A Steganographic Method for Hiding Secret Data Using Side Match Vector Quantization
IEICE - Transactions on Information and Systems
High-Performance Reversible Data Hiding
Fundamenta Informaticae
An improved lossless data hiding scheme based on image VQ-index residual value coding
Journal of Systems and Software
Reversible data hiding of a VQ index table based on referred counts
Journal of Visual Communication and Image Representation
Using quad smoothness to efficiently control capacity-distortion of reversible data hiding
Journal of Systems and Software
Huffman-code strategies to improve MFCVQ-based reversible data hiding for VQ indexes
Journal of Systems and Software
High-Performance Reversible Data Hiding
Fundamenta Informaticae
Efficient reversible data hiding algorithm based on gradient-based edge direction prediction
Journal of Systems and Software
A high-performance reversible data-hiding scheme for LZW codes
Journal of Systems and Software
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Information hiding has become an interesting topic that receives more and more attention. Recently, many hiding techniques were proposed to directly conceal secret information on an image. However, for convenience and efficiency, images are usually stored and compressed by lossy or lossless compression mechanisms in indices format. The hidden information might be erased or cancelled when the stego image is lossy compressed. Hence, this paper proposes an information hiding scheme based on side-match vector quantization (SMVQ), which conceals the secret information on the indices of the SMVQ compressed images. The proposed scheme not only can embed information in the indices of the compressed image with low image distortion, but also can recover the original indices to reconstruct the SMVQ compressed image. As the experimental results indicated, the proposed scheme indeed outperforms other schemes in terms of image quality, hiding capacity, and compression rate.