Vector quantization and signal compression
Vector quantization and signal compression
A method for obtaining digital signatures and public-key cryptosystems
Communications of the ACM
Lossless data embedding--new paradigm in digital watermarking
EURASIP Journal on Applied Signal Processing - Emerging applications of multimedia data hiding
Information hiding based on search-order coding for VQ indices
Pattern Recognition Letters
Lossless recovery of a VQ index table with embedded secret data
Journal of Visual Communication and Image Representation
VQ indexes compression and information hiding using hybrid lossless index coding
Digital Signal Processing
Reversible data hiding of a VQ index table based on referred counts
Journal of Visual Communication and Image Representation
Visually imperceptible image hiding scheme based on vector quantization
Information Processing and Management: an International Journal
An index coding algorithm for image vector quantization
IEEE Transactions on Consumer Electronics
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
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
Low bit-rate information hiding method based on search-order-coding technique
Journal of Systems and Software
Journal of Visual Communication and Image Representation
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Reversible data hiding is a special algorithm that not only guarantees the confidential data will be extracted accurately but also allows the original cover image to be reconstructed without distortion after the confidential data are completely extracted. This paper proposes a new index compression and reversible data hiding scheme based on side-match vector quantization (SMVQ) and search order coding (SOC). In this proposed scheme, the confidential data are embedded into the transformed index table of a cover image. During the extracting phase, simple steps are employed to extract the confidential data and reconstruct the original cover image. The experimental results show that with a codebook size of 256, the average compression rate of the proposed scheme is 0.325bpp, which is superior to that of the methods proposed by Chen and Huang (0.426bpp) and Chang et al. (0.429bpp). Additionally, the embedding and extracting times of our scheme are 5.491s and 0.352s, respectively, demonstrating that the execution time of the proposed scheme is much faster than that of the methods of Chen and Huang and Chang et al. Moreover, our scheme achieves better performance than other selected reversible data hiding schemes with respect to the data embedding and data compression rates.