Abstract
Reversible data hiding (RDH) in JPEG images has gained considerable attention from scholars in recent years. However, it is not easy for JPEG images to exploit the pixel redundancy for RDH design like uncompressed images. In this paper, we propose a fidelity-preserved RDH in JPEG images. The proposed scheme embeds the secret data using the histogram shifting method after considering different distortion costs of non-zero AC coefficients at different positions. Accord-ing to the block entropy obtained by summing the squares of all pixels of each \(8\times 8\) block, the quantified DCT blocks are divided into the smoothed blocks and texture blocks, and the obtained smoothed blocks are sorted in ascending order. The AC coefficients with values 1 and/or −1 in the smoother blocks are used for the embedding, the non-zero AC coefficients are shifted toward the right or the left at most by one, and the others remain invariant. Experiment results have verified the effectiveness of the proposed method.
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Acknowledgements
We thank all the appending authors for their contributions to this article.
Funding
This work is supported by the National Natural Science Foundation of China (No. 61602158), the Science and Technology Research Project of Henan Province (No. 212102210413). Start-up grant for doctoral research at Henan Normal University (QD2021096).
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Yue, Z., Ren, H., Li, M., Liang, Cl., Hai, Bz., Li, Rp. (2022). Fidelity-Preserved Reversible Data Hiding in JPEG Images Based on Adaptive Position Selection. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Advances in Artificial Intelligence and Security. ICAIS 2022. Communications in Computer and Information Science, vol 1586. Springer, Cham. https://doi.org/10.1007/978-3-031-06767-9_2
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