Information hiding based on search-order coding for VQ indices
Pattern Recognition Letters
Reversible information hiding for VQ indices based on locally adaptive coding
Journal of Visual Communication and Image Representation
A lossless data embedding technique by joint neighboring coding
Pattern Recognition
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
A path optional lossless data hiding scheme based on VQ joint neighboring coding
Information Sciences: an International Journal
Reversible data hiding based on histogram modification of pixel differences
IEEE Transactions on Circuits and Systems for Video Technology
Journal of Visual Communication and Image Representation
Visually imperceptible image hiding scheme based on vector quantization
Information Processing and Management: an International Journal
Lossless compression of VQ index with search-order coding
IEEE Transactions on Image Processing
Lossless generalized-LSB data embedding
IEEE Transactions on Image Processing
Side match and overlap match vector quantizers for images
IEEE Transactions on Image Processing
A novel VQ-based reversible data hiding scheme by using hybrid encoding strategies
Journal of Systems and Software
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Information hiding method with low bit rate is important in secure communications. To reduce bit rate we propose a new embedding method in this paper based on SOC (search-order coding) compression technique. Compared to Chang et al.'s scheme in 2004, our scheme completely avoids the transform from SOC coding to OIV (original index values) coding to significantly reduce bit rate. In order to further reduce bit rate, Chang et al. proposed a reversible data hiding scheme using hybrid encoding strategies by introducing the side-match vector quantization (SMVQ) in 2013. But it needed additional 1 bit indicator to distinguish the two statuses to determine OIV is belonged to G1 or G2. This overhead gave a large burden to compression rate and could not reduce the bit rate significantly. In contrast, our scheme completely avoids this indicator. The experimental results show that the proposed method can efficiently reduce the bit rate and have the same embedding capacity compared with Chang et al.'s scheme in 2004 and Chang et al.'s scheme in 2013. Moreover, our proposed scheme can also achieve a better performance in both the embedding capacity and bit rate than other related VQ-based information hiding schemes.