Multi-level Block Differencing Approach for Reversible Data Hiding in Encrypted Images
Pages 478 - 483
Abstract
This paper introduces a new RDHEI technique on encrypted images. In our proposed approach, the image is first divided into non-overlapping blocks. The maximum pixel value in each block is found and the difference with other pixels in the block is calculated. Next, the block is then divided into 8 types based on the size of the difference, and compression is applied accordingly. Additionally, the remaining uncompressed pixel in each block is collected for a second layer of compression. Through multiple layers of compression, more compression space is created. Finally, the proposed approach is extended to reversible information hiding in encrypted images. Experimental results demonstrate successful information embedding in encrypted images and increased embedding capacity.
References
[1]
Z. Ni, Y. Shi, N. Ansari, W. Su, “Reversible data hiding,” IEEE Transaction on Circuits and Systems for Video Technology, vol. 16, pp. 354-362, Mar. 2006.
[2]
Ranjana Dwivedi and Vinay Kumar Srivastava, “Reversible Digital Image Watermarking scheme using Histogram Shifting Method,” 2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), 2021.
[3]
S. Weng, W. Tan, B. Ou, J.S. Pan, "Reversible data hiding method for multi-histogram point selection based on improved crisscross optimization algorithm," Inform. Sci., vol. 549, pp. 13-33, March 2021.
[4]
Jun Tian, “Reversible Data Embedding Using a Difference Expansion,” IEEE Transaction on Circuits and System for Video Technology, Vol 13, pp. 890-896, Aug. 2003.
[5]
L. Luo, Z. Chen, M. Chen, X. Zeng, Z. Xiong, “Reversible image watermarking using interpolation technique,” IEEE Transactions on Information Forensics and Security, vol. 5, no. 1, pp. 187-193, Mar. 2010.
[6]
A. Arham, H. A. Nugroho, T. B. Adji, “Multiple layer data hiding scheme based on difference expansion of quad,” Signal Processing, vol. 137, no. 8, pp.52-62, 2017.
[7]
K Ma, W Zhang, X Zhao, "Reversible data hiding in encrypted images by reserving room before encryption," IEEE Transactions on Information Forensics and Security, vol. 8, no. 3, pp. 553-562, 2013.
[8]
Sayli P. Raut and Kiran A. Bhandari, “Vacating Room before Encrypting of Image for Reversible Data Hiding, ” International Journal of Applied Information Systems (IJAIS) – ISSN, Foundation of Computer Science FCS, New York, USA, Volume 11 – No. 3, August 2016.
[9]
X. Zhang, “Reversible data hiding in encrypted images,” IEEE Signal Process. Lett., vol. 18, no. 4, pp. 255-258, Apr. 2011.
[10]
Chunqiang Yu, Xianquan Zhang, Guoxiang Li, Shanhua Zhan, Zhenjun Tang, “Reversible data hiding with adaptive difference recovery for encrypted images,” Information Sciences, Vol. 584, pp. 89-110, Jan. 2022
[11]
F. Khanam, K.-Y. Song, and S. Kim, “A modified reversible data hiding in encrypted image using enhanced measurement functions,” in Proc. 8th Int. Conf. Ubiquitous Future Netw., 2016, pp. 869–872.
[12]
R. Bhardwaj and A. Aggarwal, “An improved block based joint reversible data hiding in encrypted images by symmetric cryptosystem,” Pattern Recognit. Lett., vol. 139, pp. 60–68, Nov. 2020.
[13]
P. Puteaux and W. Puech, “An efficient MSB prediction-based method for high-capacity reversible data hiding in encrypted images,” IEEE Trans. Inf. Forensics Secur., vol. 13, no. 7, pp. 1670–1681, Jul. 2018.
[14]
Y. Wang and W. He, “High Capacity Reversible Data Hiding in Encrypted Image Based on Adaptive MSB Prediction,” IEEE Transactions on Multimedia, vol. 24, 2022.
[15]
S. Chen and C.C. Chang, “Reversible data hiding in encrypted images using block-based adaptive MSBs prediction,” Journal of Information Security and Applications, vol. 69, Sep. 2022.
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Published In
May 2024
668 pages
ISBN:9798400716751
DOI:10.1145/3670105
Copyright © 2024 ACM.
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Published: 29 July 2024
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CNIOT 2024
CNIOT 2024: 2024 5th International Conference on Computing, Networks and Internet of Things
May 24 - 26, 2024
Tokyo, Japan
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