Abstract
The robustness and the imperceptibility are important properties in a digital watermarking system. Since they conflict with each other, a traditional watermarking system is difficult to satisfy them at the same time. In order to solve the above-mentioned problem, a novel digital watermarking method based on cultural invasive weed algorithm (CIWA) is designed to resolve the difficulties of the robustness and imperceptibility at the same time. The proposed CIWA combines the advantages of cultural algorithm (CA) and invasive weed optimization algorithm (IWO), so the proposed CIWA has the capability to search for the global optimal solution. The robustness and the imperceptibility of the watermarking system were optimized comprehensively by CIWA searching optimal parameters of embedding strength and embedding threshold. Simulation results have proved that the proposed method is superior to other methods based on intelligent algorithms.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Nadeau, A., Sharma, G.: An audio watermark designed for efficient and robust resynchronization after analog playback. IEEE Trans. Inf. Forensics Secur. 12(6), 1393–1405 (2017)
Liu, R., Tan, T.N.: An SVD based watermarking scheme for protecting rightful ownership. IEEE Trans. Multimedia 4(1), 121–128 (2002)
Meng, X.T., Zhang, W.J.: An improved digital watermarking technology based on QR code. In: 2015 4th International Conference on Computer Science and Network Technology, pp. 1004–1007 (2015)
Singh, A.P., Mishra, A.: Wavelet based watermarking on digital image. Indian J. Comput. Sci. Eng. 1(2), 86–91 (2011)
Cui, Y., Li, X., Wang, K.: Based on wavelet packet transform and discrete cosine transform of dual watermarking algorithm. China J. Image Graph. 12(1), 6l–67 (2007)
Chen, J., Huang, S., Zhang, W., et al.: An adaptive digital watermarking algorithm based on DWT. Comput. Sci. 33(7), 155–157 (2006)
Basak, A., Maity, D., Das, S.: A differential invasive weed optimization algorithm for improved global numerical optimization. Appl. Math. Comput. 219(12), 6645–6668 (2013)
Mostafa, A., Awad, N.H., Rehab, M.D.: Cultural algorithm with improved local search for optimization problems. In: 2013 IEEE Congress on Evolutionary Computation, pp. 284–291 (2013)
Abdellatif, M., Anis, S., Hayet, H., Seifeddine, N.: An additive image watermarking method based on particle swarm optimization. In: 14th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA, pp. 501–508 (2013)
Acknowledgment
This work was supported by the National Natural Science Foundation of China (61571149), the Special China Postdoctoral Science Foundation (No. 2015T80325), the China Scholarship Council and the Fundamental Research Funds for the Central Universities (HEUCF160817).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Gao, H.Y., Chi, P.F., Du, Y.N., Wang, Y., Diao, M. (2019). Digital Watermarking Based on Wavelet Transform and Cultural Invasive Weed Algorithm. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_197
Download citation
DOI: https://doi.org/10.1007/978-981-10-6571-2_197
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-6570-5
Online ISBN: 978-981-10-6571-2
eBook Packages: EngineeringEngineering (R0)