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A Reversible Data Hiding Based on Histogram Shifting of Prediction Errors for Two-Tier Medical Images
Volume 32, Issue 1 (2021), pp. 69–84
Li-Chin Huang   Shu-Fen Chiou   Min-Shiang Hwang  

Authors

 
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https://doi.org/10.15388/20-INFOR422
Pub. online: 22 June 2020      Type: Research Article      Open accessOpen Access

Received
1 September 2018
Accepted
1 May 2020
Published
22 June 2020

Abstract

Clinics and hospitals have already adopted more technological resources to provide a faster and more precise diagnostic for patients, health care providers, and institutes of medicine. Security issues get more and more important in medical services via communication resources such as Wireless-Fidelity (Wi-Fi), third generation of mobile telecommunications technology (3G), and other mobile devices to connect medical systems from anywhere. Furthermore, cloud-based medical systems allow users to access archived medical images from anywhere. In order to protect medical images, lossless data hiding methods are efficient and easy techniques. In this paper, we present a data hiding of two-tier medical images based on histogram shifting of prediction errors. The median histogram shifting technique and prediction error schemes as the two-tier hiding have high capacity and PSNR in 16-bit medical images.

References

 
Abbasy, M.R., Shanmugam, B. (2011). Enabling data hiding for resource sharing in cloud computing environments based on DNA sequences. In: IEEE World Congress on Services, pp. 385–390.
 
Cao, X., Du, L., Wei, X., Meng, D., Guo, X. (2016). High capacity reversible data hiding in encrypted images by patch-level sparse representation. IEEE Transactions on Cybernetics, 46, 1132–1143.
 
Chang, C.C., Huang, Y.H., Tsai, H.Y., Qin, C. (2012). Prediction-based reversible data hiding using the difference of neighboring pixels. International Journal of Electronics and Communications, 66, 758–766.
 
Chen, X., Guo, W. (2020). Reversible data hiding scheme based on fully exploiting the orientation combinations of dual stego-images. International Journal of Network Security, 22, 126–135.
 
Culjat, M., Singh, R., Lee, H. (2012). Medical Devices: Surgical and Image-Guided Technologies. Wiley.
 
Dragoi, I.C., Coltuc, D. (2015). On local prediction based reversible watermarking. IEEE Transactions on Image Processing, 24, 1244–1246.
 
Fallahpour, M., Sedaaghi, M.H. (2007). High capacity lossless data hiding based on histogram modification. IEICE Electronics Express, 4, 205–210.
 
Gao, G., Shi, Y.Q. (2015). Reversible data hiding using controlled contrast enhancement and integer wavelet transform. IEEE Signal Processing Letters, 22, 2078–2082.
 
Hong, W., Chen, T.S., Shiu, C.W. (2008). Reversible data hiding based on histogram shifting of predict errors. International Workshop on Geoscience and Remote Sensing, 2, 578–581.
 
Hong, W., Chen, T.S., Chen, J. (2015). Reversible data hiding using Delaunay triangulation and selective embedment. Information Sciences, 308, 140–154.
 
Huang, L.C., Hwang, M.S. (2012). Study of an intrusion detection system. Journal of Electronic Science and Technology, 10, 77–83.
 
Huang, L.C., Tseng, L.Y., Hwang, M.S. (2012). The study of data hiding in medical image. International Journal of Network Security, 14, 243–251.
 
Huang, L.C., Hwang, M.S., Tseng, L.Y. (2013a). Reversible and high-capacity data hiding in high quality medical images. KSII Transactions on Internet and Information Systems, 7, 132–148.
 
Huang, L.C., Hwang, M.S., Tseng, L.Y. (2013b). Reversible data hiding for medical images in cloud computing environments based on Chaotic Hénon map. Journal of Electronic Science and Technology, 11, 230–236.
 
Huang, F., Qu, X., Kim, H.J., Huang, J. (2016). Reversible data hiding in JPEG images. IEEE Transactions on Circuits and Systems for Video Technology, 26, 1610–1621.
 
Huang, L.C., Feng, T.H., Hwang, M.S. (2017). A new lossless embedding techniques based on HDWT. IETE Technical Review, 34, 40–47.
 
Jana, B., Giri, D., Mondal, S.K. (2016). Dual-Image based reversible data hiding scheme using pixel value difference expansion. International Journal of Network Security, 18, 633–643.
 
Kim, K.S., Lee, M.J., Lee, H.Y., Lee, H.K. (2009). Reversible data hiding exploiting spatial correlation between sub-sampled images. Pattern Recognit, 42, 3083–3096.
 
Kim, S., Lussi, R., Qu, X., Kim, H.J. (2015). Automatic contrast enhancement using reversible data hiding. In: Proc. IEEE International Workshop on Information Forensics and Security, 1–5.
 
Lee, S.K., Suh, Y.H., Ho, Y.S. (2006). Reversible image authentication based on watermarking. In: Proceedings of the IEEE International Conference on Multimedia and Expo, pp. 1321–1324.
 
Li, F., Mao, Q., Chang, C.C. (2016). A reversible data hiding scheme based on IWT and the Sudoku method. International Journal of Network Security, 18, 410–419.
 
Li, J.J., Wu, Y.H., Lee, C.F., Chang, C.C. (2018). Generalized PVO-K embedding technique for reversible data hiding. International Journal of Network Security, 20, 65–77.
 
Luo, H., Yu, F.X., Chen, H., Huang, Z.L., Li, H., Wang, P.H. (2011). Reversible data hiding based on block median preservation. Information Sciences, 181, 308–328.
 
National Cancer Institute, National Biomedical Imaging Archive (NBIA) (2018). Institute, National Biomedical Imaging Archive (NBIA). https://imaging.nci.nih.gov/ (accessed March 2 2018).
 
Ni, Z., Shi, Y.Q., Ansari, N., Su, W. (2006). Reversible data hiding. IEEE Transactions on Circuits and Systems for Video Technology, 16, 354–362.
 
Qiu, Y., Qian, Z., Yu, L. (2016). Adaptive reversible data hiding by extending the generalized integer transformation. IEEE Signal Processing Letters, 23, 130–134.
 
Shanableh, T. (2012). Data hiding in MPEG video files using multivariate regression and flexible macroblock ordering. IEEE Transactions on Information Forensics and Security, 7, 455–464.
 
Shi, Y.Q., Li, X., Zhang, X., Wu, H.T., Ma, B. (2016). Reversible data hiding: Advances in the past two decades. IEEE Access, 4, 3210–3237.
 
Surekha, B., Swamy, G.N. (2013). Sensitive digital image watermarking for copyright protection. International Journal of Network Security, 15, 113–121.
 
Thodi, D.M., Rodriguez, J.J. (2007). Expansion embedding techniques for reversible watermarking. IEEE Transactions on Image Processing, 6, 721–730.
 
Tian, J. (2002). Wavelet-based reversible watermarking for authentication. In: Proceedings SPIE 4675, Security and Watermarking of Multimedia Contents, IV, 679–690.
 
Tseng, L.Y., Huang, L.C. (2010). Automatic fissure detection in CT images based on the genetic algorithm. In: Proceedings of the International Conference on Machine Learning and Cybernetics, Vol. 5, pp. 2583–2588.
 
Vleeschouwer, C.D., Delaigle, J.F., Macq, B. (2003). Circular interpretation of bijective transformations in lossless watermarking for media asset management. IEEE Transactions on Multimedia, 5, 97–105.
 
Wang, K., Lu, Z.M., Hu, Y.J. (2013). A high capacity lossless data hiding scheme for JPEG images. Journal of Systems and Software, 86, 1965–1975.
 
Wang, Y.L., Shen, J.J., Hwang, M.S. (2017). An improved dual image-based reversible hiding technique using LSB matching. International Journal of Network Security, 19, 858–862.
 
Wang, Y.L., Shen, J.J., Hwang, M.S. (2018). A survey of reversible data hiding for VQ-compressed images. International Journal of Network Security, 20, 1–8.
 
Wu, Y., Deng, R.H. (2011). Zero-error watermarking on JPEG images by shuffling Huffman tree nodes. In: Proceedings of the IEEE Visual Communications and Image Processing, pp. 1–4.
 
Wu, C.C., Hwang, M.S., Kao, S.J. (2009). A new approach to the secret image sharing with steganography and authentication. Imaging Science Journal, 57, 140–151.
 
Wu, H.T., Dugelay, J.L., Shi, Y.Q. (2015a). Reversible image data hiding with contrast enhancement. IEEE Transactions on Signal Processing, 22, 81–85.
 
Wu, H.T., Huang, J., Shi, Y.Q. (2015b). A reversible data hiding method with contrast enhancement for medical images. Journal of Visual Communication and Image Representation, 31, 146–153.
 
Xuan, G., Shi, Y.Q., Chai, P., Cui, X., Ni, Z., Tong, X. (2007). Optimum histogram pair based image lossless data embedding. International Workshop on Digital Watermarking, 264–278.
 
Zhang, X. (2011). Reversible data hiding in encrypted image. IEEE Signal Processing Letters, 18, 255–258.
 
Zhang, X. (2012). Separable reversible data hiding in encrypted image. IEEE Transactions on Information Forensics and Security, 7, 826–832.
 
Zhang, W., Wang, H., Hou, D., Yu, N. (2016). Reversible data hiding in encrypted image by reversible image transforming. IEEE Transactions on Multimedia, 18, 1469–1479.
 
Zhang, S., Gao, T., Yang, L. (2016). A reversible data hiding scheme based on histogram modification in integer DWT domain for BTC compressed images. International Journal of Network Security, 18, 718–727.

Biographies

Huang Li-Chin
lsb55239@gmail.com

L.-C. Huang received the BS degree in computer science from Providence University, Taiwan, in 1993 and MS degree in information management from Chaoyang University of Technology (CYUT), Taichung, Taiwan, in 2001, and the PhD degree in computer and information science from National Chung Hsing University (NCHU), Taiwan, in 2001. Her current research interests include information security, cryptography, medical image, data hiding, network, security, big data, and mobile communications.

Chiou Shu-Fen
fen057@gmail.com

S.-F. Chiou received a BBA degree in information management from National Taichung Institute of Technology, Taichung, Taiwan, ROC, in 2004. She studied MS degree in computer science and engineering from National Chung Hsing University for one year, and she started to pursue the PhD degree. She received a PhD in computer science and engineering from National Chung Hsing University, in 2012. She is currently an assistant professor of Department of Information Management, National Taichung University of Science and Technology. Her current research interests include information security, network security, data hiding, text mining and big data analysis.

Hwang Min-Shiang
mshwang@asia.edu.tw

M.-S. Hwang received MS degree in industrial engineering from National Tsing Hua University, Taiwan, in 1988, and his PhD degree in computer and information science from National Chiao Tung University, Taiwan, in 1995. He was a professor and chairman of the Department of Management Information Systems, NCHU, during 2003–2009. He was also a visiting professor with University of California (UC), Riverside and UC. Davis (USA) during 2009–2010. He was a distinguished professor of Department of Management Information Systems, NCHU, during 2007–2011. He obtained the 1997, 1998, 1999, 2000, and 2001 Excellent Research Award of National Science Council (Taiwan). Dr. Hwang was a dean of college of Computer Science, Asia University (AU), Taichung, Taiwan. He is currently a chair professor with Department of Computer Science and Information Engineering, AU. His current research interests include information security, electronic commerce, database and data security, cryptography, image compression, and mobile computing. Dr. Hwang has published over 300+ articles on the above research fields in international journals.


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Keywords
lossless data embedding reversible data hiding histogram prediction medical image

Funding
This work was partially supported by the Ministry of Science and Technology, Taiwan, under grant MOST 106-2221-E-468-002.

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