Abstract
With the development of computers and networks, digital data can be transmitted quickly to anywhere in the world. Information security has become the focus of research for several researchers as it is essential to protect the information that is being transferred over the Internet. In 1980, Linde et al. proposed vector quantization (VQ), a simple compression technique with good image quality and compression rate. We explore vector quantization (VQ) in this paper for embedding watermark to achieve the goal of data hiding. Data hiding schemes for the encoded vector quantization (VQ) index table are studied from five papers and analyzed in terms of the characteristics of different methods. A comparison of image quality and the amount of embedded information has been presented and discussed.
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References
Lee, C.F., Weng, C.Y., Kao, C.Y.: Reversible data hiding using Lagrange interpolation for prediction-error expansion embedding. Soft Comput., 1–13 (2018)
Lee, C.F., Li, Y.C., Chu, S.C., Roddick, J.F.: Data hiding scheme based on a flower-shaped reference matrix J. Netw. Intell. 3(2), 138–151 (2018)
Lee, C.F., Weng, C.Y., Chen, K.C.: An efficient reversible data hiding with reduplicated exploiting modification direction using image interpolation and edge detection. Multimed. Tools Appl. 76(7), 9993–10016 (2017)
Lee, C.F., Chang, C.C., Xie, X.Z., Mao, K., Shi, R.H.: High robust image watermarking scheme exploiting Arnold transform mapping in the DCT domain of YCbCr color space. Displays 53, 30–39 (2018)
Linde, Y., Buzo, A., Gray, R.M.: An algorithm for vector quantizer design. IEEE Trans. Commun. 28, 84–95 (1980)
Qin, C., Hu, Y.C.: Reversible data hiding in VQ index table with lossless coding and adaptive switching mechanism. Sig. Process. 129, 48–55 (2016)
Pan, Z., Wang, L.: Novel reversible data hiding scheme for two-stage VQ compressed images based on search-order coding. J. Vis. Commun. Image Represent. 50, 186–198 (2018)
Rahmani, P., Dastghaibyfard, G.: An efficient histogram-based index mapping mechanism for reversible data hiding in VQ-compressed images. Inf. Sci. 435, 224–239 (2018)
Huang, C.T., Tsai, M.Y., Lin, L.C., Wang, W.J., Wang, S.J.: VQ-based data hiding in IoT networks using two-level encoding with adaptive pixel replacements. J. Supercomput. 74, 4295–4314 (2018)
Huang, C.T., Lin, L.C., Yang, C.H., Wang, S.J.: Dynamic embedding strategy of VQ-based information hiding approach. J. Vis. Commun. Image Represent. 59, 14–32 (2019)
Wikipedia, Data compression ratio. https://en.wikipedia.org/wiki/Data_compression_ratio. Last accessed 13 Mar 1997
Acknowledgements
This research was partially supported by the Ministry of Science and Technology of the Republic of China under the Grants MOST 106-2221-E-324-006-MY2.
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Lee, CF., Chang, CC., Shih, CS., Agrawal, S. (2020). A Survey of Data Hiding Based on Vector Quantization. In: Pan, JS., Li, J., Tsai, PW., Jain, L. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. Smart Innovation, Systems and Technologies, vol 156. Springer, Singapore. https://doi.org/10.1007/978-981-13-9714-1_7
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DOI: https://doi.org/10.1007/978-981-13-9714-1_7
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