Abstract
In today’s growing world of digital technology, access to the multimedia content is very easy and for some sensitive applications such as medical imaging, military system, legal problems, it is very essential to not only reinstate the original media without any loss of information but also to increase content’s security. Reversible data hiding is an approach to extract the information embedded covertly as well as the host image. In this paper, we have proposed a novel hybrid reversible watermarking scheme based on DWT and SVD. In this scheme, we have provided double layer of security by utilizing the multiresolution property of wavelet and strong features of SVD. In the proposed scheme, watermark is embedded into the singular values of all high-frequency subbands obtained by wavelet decomposition of the original image and at the time of extraction, watermark bits are used along with singular vectors to obtain the original image. Our scheme provides high security even after the extraction of watermark, without knowing the extraction algorithm, original image cannot be recovered in its entirety. The proposed scheme is tested on various test images and the obtained results after applying different performance metrics such as PSNR and UIQI show the effectiveness of the proposed scheme.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Barton, J.M.: Method and apparatus for embedding authentication information within digital data. U.S. Patent No. 5646997 (1997)
Honsinger, C.W., Jones, P.W., Rabbani, M., Stoffel, J.C.: Lossless recovery of an original image containing embedded data. U.S. Patent No. 6278791. (2001)
Alattar, A.M.: Reversible watermark using difference expansion of triplets. In: Proceedings of International Conference on Image Processing (ICIP 2003), pp. 501–504, Sept 2003
Alattar, A.M.: Reversible watermark using difference expansion of quads. In: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP ‘04), pp. 377–380, May 2004
Lee, C.C., Wu, H.C., Tsai, C.S., Chu, Y.P.: Adaptive lossless steganographic scheme with centralized difference expansion. Pattern Recogn. 41, 2097–2106 (2008)
Lin, C.C., Yang, S.P., Hsueh, N.L.: Lossless data hiding based on difference expansion without a location map. In: Proceedings of Congress on Image and Signal Processing (CISP’08), pp. 8–12 (2008)
Thodi, D.M., Rodríguez, J.J.: Expansion embedding techniques for reversible watermarking. IEEE Trans. Image Process. 16, 721–730 (2007)
Tian, J.: Reversible data embedding using a difference expansion. IEEE Trans. Circuits Syst. Video Technol. 13, 890–896 (2003)
Ni, Z., Shi, Y., Ansari, N., Su, W.: Reversible data hididng. IEEE Trans. Circuits Syst. Video Technol. 16(3), 354–362 (2006)
Tai, W., Yeh, C., Chang, C.: Reversible data hiding based on histogram modification of pixel differences. IEEE Trans. Circuits Syst. Video Technol. 19(6), 906–910 (2009)
Vleeschouwer, C.D., Delaigle, J.F., Macq, B.: Circular interpretation of histogram for reversible watermarking. In: IEEE 4th Workshop on Multimedia Signal Processing, pp. 345–350 (2001)
Vleeschouwer, C.D., Delaigle, J.F., Macq, B.: Circular interpretation of bijective transformations in lossless watermarking for media asset management. IEEE Trans. Multimedia 5, 97–105 (2003)
Thodi, D.M., Rodríguez, J.J.: Prediction-error based reversible watermarking: In: Proceedings of International Conference on Image Processing, pp. 1549–1552 (2004)
Leung, H.Y., Cheng, L.M., Liu, F., Fu, Q.K.: Adaptive reversible data hiding based on block median preservation and modification of prediction errors. J. Syst. Softw. 86, 2204–2219 (2013)
Fridrich, J., Goljan, M., Du, R.: Invertible authentication. In: Proceedings of SPIE Security and Watermarking of Multimedia Content, San Jose, U.S.A, pp. 197–208 (2001)
Fridrich, J., Goljan,M., Du, R.: Lossless data embedding—new paradigm in digital watermarking. EURASIP J. Appl. Signal Process. 185–196, (2002)
Celik, M.U., Sharma, G., Tekalp, A.M., Saber, E.: Lossless generalized-LSB data embedding. IEEE Trans. Image Process. 14(2), 253–256 (2005)
Lee, S., Yoo, C.D., Kalker, T.: Reversible Image Watermarking Based on Integer-to-Integer Wavelet Transform. IEEE Trans. Inf. Forensics Secur. 2(3), 321–330 (2007)
Xuan, G., Yang, C., Zheng, Y., Shi, Y.Q., Ni, Z.: Reversible data hiding based on wavelet spread spectrum. In: Proceedings of IEEE International Workshop on Multimedia Signal Processing (MMSP2004), Siena, Italy, pp. 211–214, Sept 2004
Alattar, A.M.: Reversible watermark Using the Difference Expansion of a Generalized Integer Transform. IEEE Trans. Image Process. 13, 1147–1156 (2004)
Chang, C., Tai, P., Lin, C.: SVD-based digital watermarking scheme. Pattern Recogn. Lett. 26, 1577–1586 (2005)
Benhocine, A., Laouamer, L., Nana, L., Pasc, A.C.: New images watermarking scheme based on singular value decomposition. J. Inf. Hiding Multimedia Signal Process. 4(1), 9–18 (2013)
Loukhaoukha, K., Nabti, M., Zebbiche, K.: A robust SVD-based image watermarking using a multi-objective particle swarm optimization. OPTO-Electron. Rev. 22(1), 45–54 (2014)
Yoo, K.S., Cho, O.H., Lee, W.H.: Reversible watermarking for authentication using singular value decomposition. In: Proceedings of International Conference on Electronics, Information and Communications, pp. 875–878 (2008)
Sadek, R.A.: SVD based image processing applications: state of the art, contributions and research challenges. Int. J. Adv. Comput. Sci. Appl. 3(7), 26–34 (2012)
Li, C.T.: Emerging digital forensics applications for crime detection, prevention and security. IGI-Global, NY (2013)
Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 3rd edn. Pearson Publication, New Delhi, India (2013)
Andrews, H.C., Patterson, C.L.: Singular value decompositions and digital image processing. IEEE Trans. Acoust. Speech Signal Process. 24, 26–53 (1976)
Kamm, J.L.: SVD-based methods for signal and image restoration. Ph. D. Thesis (1998)
Baker, K.: Singular value decomposition tutorial, pp. 1577–1586 (2013)
Ganic, E., Zubair, N., Eskicioglu, A.M.: An optimal watermarking scheme based on singular value decomposition. In: Proceedings of IASTED International Conference on Communication, Network, and Information Security (CNIS 2003), pp. 85–90. Uniondale, NY, Dec 2003
Wang, Z., Bovik, A.C.: A universal image quality index. IEEE Signal Process. Lett. 9(3), 81–84 (2002)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer Science+Business Media Singapore
About this paper
Cite this paper
Manoj Kumar, Smita Agrawal, Triloki Pant (2016). SVD-Based Fragile Reversible Data Hiding Using DWT. In: Pant, M., Deep, K., Bansal, J., Nagar, A., Das, K. (eds) Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 436. Springer, Singapore. https://doi.org/10.1007/978-981-10-0448-3_62
Download citation
DOI: https://doi.org/10.1007/978-981-10-0448-3_62
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-0447-6
Online ISBN: 978-981-10-0448-3
eBook Packages: EngineeringEngineering (R0)