Abstract
This paper presents a novel medical image authentication system through wavelet decomposition and particle swarm optimization (PSO). First medical image is treated with wavelet transformation and another image is treated with tent map and a hash function to further protect the secret watermark. Tent map ensures the sensitivity towards changes in the initial value which, can better protect and encrypt the original watermark. The operations performed on the binary coded image are based on the encryption sequences generated from chaotic map. Particle swarm optimization (PSO) results in producing optimal balance between embedding capacity and imperceptibility by exploiting the image pixel correlation of neighboring pixels. The novelty of the proposed technique lies in its ability to create a model that can find optimal wavelet coefficients for embedding using PSO and also acts as an absolute feature for embedding the watermark. The proposed method is thus able to embed watermark with low distortion, take out the secret information and also recovers the original image. The proposed technique is valuable with respect to robustness, capacity and imperceptibility.
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Hu, Y.C., Chen, W.L., Lo, C.C., Wu, C.M.: A novel tamper detection scheme for BTC compressed images. Opto-Electron. Rev. 21(1), 137–146 (2013)
Hu, Y.C., Lo, C.C., Chen, W.L., Wen, C.H.: Joint image coding and image authentication based on absolute moment block truncation coding. J. Electron. Image 22(1), 1–12 (2013)
Qin, C., Chang, C.C., Chen, K.N.: Adaptive self-recovery for tampered images based on VQ indexing and in painting. Signal Process 93, 933–946 (2013)
Zhang, X., Qian, Z., Ren, Y., Feng, G.: Watermarking with flexible self-recovery quality based on compressive sensing and compositive reconstruction. IEEE Trans. Inf. Forensics Secur. 6(4), 1223–1232 (2011)
Lo, C.C., Hu, Y.C.: A novel reversible image authentication scheme for digital images. Signal Process 98, 174–185 (2014)
Lee, S., Yoo, C.D., Kalker, T.O.N.: Reversible image watermarking based on integer-to-integer wavelet transform. IEEE Trans. Inf. Forensics Secur. 2, 321–330 (2007)
Chang, C.C., Nguyen, T.S., Lin, C.C.: A reversible compression code hiding using SOC and SMVQ indices. Inf. Sci. 300, 85–99 (2015)
Ni, Z., Shi, Y.Q., Ansari, N., Su, W.: Reversible data hiding. IEEE Trans. Circuits Syst. Video Technol. 16(3), 354–362 (2006)
Parah, S.A., Ahad, F., Sheikh, J.A., Bhat, G.M.: Hiding clinical information in medical images: a new high capacity and reversible data hiding technique. J. Biomed. Inform., 214–230 (2017)
Nguyen, T.-S., Chang, C.-C., Yang, X.-Q.: A reversible image authentication scheme based on fragile watermarking in discrete wavelet transform domain. Int. J. Electron. Commun., 1055–1061 (2016)
Sethuramalingam, T.K., Nagaraj, B.: A comparative approach on PID controller tuning using soft computing techniques. Int. J. Innov. Sci. Eng. Res. 1(12), 460–465 (2014)
Lin, P.Y., Lee, J.S., Chang, C.C.: Dual digital watermarking for internet media based on hybrid strategies. IEEE Trans. Circuits Syst. Video Technol. 19(8), 1169–1171 (2009)
Swaminathan, A., Mao, Y.N., Wu, M.: Robust and secure image hashing. IEEE Trans. Inf. Forensics Secur. 1(2), 215–230 (2006)
Xuan, G., Shi, Y.Q., Yang, C., Zheng, Y., Zou, D., Chai, P.: Lossless data hiding using integer wavelet transform and threshold embedding technique. In: IEEE inter-national conference on multimedia and expo, pp. 1520–1523 (2005)
Chan, C.S.: An image authentication method by applying Hamming code on rearranged bits. Pattern Recognit. Lett. 32(14), 1679–1690 (2011)
Zhu, X., Ho, A.T.S., Marziliano, P.: A new semi-fragile image watermarking with robust tampering restoration using irregular sampling. Signal Process. Image Commun. 22(5), 515–528 (2007)
Preda, R.O.: Semi-fragile watermarking for image authentication with sensitive tamper localization in the wavelet domain. Measurement 46(1), 367–373 (2013)
Usman, I., Khan, A., Ali, A., Choi, T.S.: Reversible watermarking based on intelligent coefficient selection and integer wavelet transform. Int. J. Innov. Comput. Inf. Control 5, 1-ISII08-237 (2005)
Chuang, J.C., Hu, Y.C.: An adaptive image authentication scheme for vector quantization compressed image. J. Vis. Commun. Image Represent. 22(5), 440–449 (2011)
Sachnev, V., Nam, T., Kim, H.J., Suresh, S., Shi, Y.Q.: Reversible watermarking algorithm, using sorting and prediction. IEEE Trans. Circuits Syst. Video Technol. 19, 989–998 (2009)
Chen, M., Chen, Z., Zeng, X., Xiong, Z.: Text fusion watermarking in medical image with semi-reversible for secure transfer and authentication. In: IEEE journal of selected topics in signal and process, vol. 4, pp. 592–604 (2010)
Al-Otum, H.M.: Semi-fragile watermarking for gray scale image authentication and tamper detection based on an adjusted expanded-bit multi-scale quantization-based technique. J. Vis. Commun. Image Represent. 25(5), 1064–1081 (2014)
Wong, P.W., Memon, N.: Secret and public key image watermarking schemes for image authentication and ownership verification. IEEE Trans. Image Process. 10(10), 1593–1601 (2001)
Qi, X., Xin, X.: A quantization-based semi-fragile watermarking scheme for image content authentication. J. Vis. Commun. Image Represent. 22(2), 187–200 (2011)
Zhang, W., Frank, Y.S.: Semi-fragile spatial watermarking based on local binary pattern operators. Opt. Commun. 284(16–17), 3904–3912 (2011)
Luo, L., Chen, Z., Chen, M., Zeng, X., Xiong, Z.: Reversible image watermarking using interpolation technique. IEEE Trans. Inf. Forensics Secur. 5(1), 187–193 (2011)
Minamoti, T., Ohura, R.: A blind digital image watermarking method based on the dyadic wavelet transform and interval arithmetic. Appl. Math. Comput. 236, 306–319 (2014)
Yeo, D.G., Lee, H.Y., Kim, B.M.: High capacity reversible watermarking using differential histogram shifting and predicted error compensation. J. Electron. Imaging 20(1), 013001 (2011)
Kennedy, J., Eberhart, R.: Particle Swarm Optimization. In: Proceedings of the IEEE international conference on neural networks, vol. 4, pp. 1942–1948 (1995)
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Balasamy, K., Ramakrishnan, S. An intelligent reversible watermarking system for authenticating medical images using Wavelet and PSO. Cluster Comput 22 (Suppl 2), 4431–4442 (2019). https://doi.org/10.1007/s10586-018-1991-8
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DOI: https://doi.org/10.1007/s10586-018-1991-8