2020 Vol.3 Apr. No.2

• Title: Reversible information hiding algorithm of ciphertext CT mechanical scanning image in homomorphic encryption domain
• Name: Xie Dinglong
• Company: School of Civil Engineering and Architecture, Henan University
• Abstract:

  At present, in reversible information hiding algorithm of image, the difference expansion idea is used. After the carrier image encryption, in encrypted image, information bits are embedded in the low value, resulting in the fact that in the image embedded with watermarking information, a part of the boundary pixel value has flipped. After being extracted, the carrier image cannot be recovered completely that is not only a large quantity of calculation, and the image quality has also been some damage. A algorithm for reversible information hiding of encrypted the medical image in the homomorphic encryption domain is proposed. Combining wavelet and fast fuzzy algorithm, the image edge is extracted from the high frequency and low frequency parts of medical image, and the medical image is reconstructed in the compressed boundary part. Combined with the thought of block compressed sensing and block edge pixels, the reconstructed medical image is divided to multiple non-overlapping blocks. The pixel in the right lower edge of the block is made homomorphic encryption operation, the remaining pixels are made compressed sensing operation, and the two parts are combined to a ciphertext to be sent to the owner of the channel. According to the information hiding key, the secret information is embedded into the ciphertext by the channel owners. The receiver can extract the information and restore the original image based on the encryption key and the information hiding key. The experimental results show that the proposed algorithm has high embedding capacity, the image quality after recovery is high, and the computational complexity is low.

• Keyword: homomorphic encrypted domain; encrypted medical image; reversible information hiding algorithm
• DOI: 10.12250/jpciams2020020224
• Citation form: Xie Dinglong.Reversible information hiding algorithm of ciphertext CT mechanical scanning image in homomorphic encryption domain[J]. Computer Informatization and Mechanical System, 2020, vol. 3, pp. 24-34.

[1] H.Y. Qin, H.Y. Zhao and H. Zhao, Research on the Digital Image Encryption Algorithm based on Double Chaos, Bulletin of Science and Technology, 12(2016), 169-173.
[2] G. Gao, X.Wan, S. Yao, et al, Reversible data hiding with contrast enhancement and tamper localization for medical images, Information Sciences, C(2017), 250-265.
[3] T. Luo, G. Jiang, M. Yu, et al, Inter-view local texture analysis based stereo image reversible data hiding, Digital Signal Processing, C(2016), 116-129.
[4] N. Jiang, N. Zhao and L. Wang, LSB Based Quantum Image Steganography Algorithm, International Journal of Theoretical Physics, 1(2016), 107-123.
[5] M. Aziz, M.H. Tayarani-N and M. Afsar, A cycling chaos-based cryptic-free algorithm for image steganography, Nonlinear Dynamics, 3(2015), 1271-1290.
[6] M. Li, D. Xiao, A. Kulsoom, et al, Improved reversible data hiding for encrypted images using full embedding strategy, Electronics Letters, 9(2015), 690-691.
[7] K. Dong, H.J. Kim, S.C. Yong, et al, Reversible Binary Image Watermarking Method Using Overlapping Pattern Substitution, Etri Journal, 5(2015), 990–1000.
[8] H. Zhou, K. Chen, W. Zhang, et al, Comments on Steganography Using Reversible Texture Synthesis, IEEE Transactions on Image Processing, 4(2017), 1623-1625.
[9] H. Zheng, Y. Yang, D. Xiao, et al, RDH in BCS images based on block edge pixel separation, Electronics Letters, 1(2016), 18-20.
[10] H. Unno, R. Yamkum, C. Bunporn, et al, A New Displaying Technology for Information Hiding Using Temporally Brightness Modulated Pattern, IEEE Transactions on Industry Applications, 1(2017), 596-601.
[11] B. Bank, J. Heintz, G. Matera, et al, Quiz games as a model for information hiding, Journal of Complexity, C(2015), 1-29.
[12] S.M.E. Sahraeian, M.A. Akhaee, B. Sankur, et al, Information hiding with maximum likelihood detector for correlated signals, Digital Signal Processing, C(2015), 144-155.
[13] A. Basu, K. Nandy, A. Banerjee, et al, On the implementation of IP protection using biometrics based information hiding and firewall, International Journal of Electronics, 2(2016), 177-194.
[14] F. Wang, L. Wang, T.T, Wang.Hidden Optimization Algorithm Simulation Analysis of Large Capacity Images,Computer Simulation. 3(2016), 409-412.
[15] J.L. Han and X.H. Zhao, Adjustable reversible data hiding algorithm with large embedded capacity based on image gradient prediction, Journal of Jilin University(Engineering and Technology Edition), 6(2016), 2074-2079.
[16] S.H. Song, Ubiquitous Data Gathering Algorithm Based on Maximization of Information Gain in Wireless Sensor Networks, Journal of China Academy of Electronics and Information Technology, 4(2017), 371-377.