Abstract
To protect the copyright of the digital media, a robust watermarking algorithm based on image fusion, integer wavelet transform (IWT)-singular value decomposition (SVD) and hybrid of optimization scheme is developed. The algorithm considers IWT to decompose the carrier image into non-overlapping sub-bands, and then SVD is performed on lower frequency sub-bands to compute the singular matrices. Further, the algorithm utilizes the stationary wavelet transform (SWT) to decompose the multi-focus images into several sub-bands, and obtain the fused image as mark image. To provide the solution of false positive problem (FPP), we conceal principal component (PC) of the fused mark the carrier image with optimal embedding factor. Prior to this, fusion of Firefly and PSO optimization scheme is used to determine the embedding strength, which provide a good relationship between robustness and quality. Experimental demonstration shows that compared with the traditional algorithms, robustness of the proposed algorithm is significantly improved.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Sun, W., Zhou, J., Li, Y., Cheung, M., She, J.: Robust high-capacity watermarking over online social network shared images. IEEE Trans. Circ. Syst. Video Technol. 31(3), 1208–1221 (2021)
Xia, Z., Wang, X., Zhang, L., Qin, Z., Sun., X., Ren, K.: A privacy-preserving and copy-deterrence content-based image retrieval scheme in cloud computing. IEEE Trans. Inf. Forensics Secur. 11(11), 2594–2608 (2016)
Singh, A., Kumar, B., Mohan, A.: Digital image watermarking: concepts and applications. Medical Image Watermarking, pp. 1–12. Springer (2017). ISBN: 978-3319576985
Singh, O., Singh, A.: Data hiding in encryption–compression domain. Complex Intell. Syst., 1–14 (2021). https://doi.org/10.1007/s40747-021-00309-w
Mohanty, S., Sengupta, A., Guturu, P., Kougianos, E.: Everything you want to know about watermarking: from paper marks to hardware protection. IEEE Consum. Electron. Mag. 6(3), 83–91 (2017)
Singh, O., Singh, A., Srivastava, G., Kumar, N.: Image watermarking using soft computing techniques: a comprehensive survey. Multimedia Tools Appl., 1–32 (2020). https://doi.org/10.1007/s11042-020-09606-x
Waleed, J., Jun, H., Abbas, T., Hameed, S., Hatem, H.: A survey of digital image watermarking optimization based on nature inspired algorithms NIAs. Int. J. Secur. Appl. 8(6), 315–334 (2014)
Zhu, Z., Zheng, M., Qi, G., Wang, D., Xiang, Y.: A phase congruency and local Laplacian energy based multi-modality medical image fusion method in NSCT domain. IEEE Access 7, 20811–20824 (2019)
Asha, C., Lal, S., Gurupur, V., Saxena, P.: Multi-modal medical image fusion with adaptive weighted combination of NSST bands using Chaotic Grey Wolf optimization. IEEE Access 7, 40782–40796 (2019)
Alshoura, W., Zainol, Z., The, J., Alawida, M.: A new chaotic image watermarking scheme based on SVD and IWT. IEEE Access 8, 43391–43406 (2020)
Alshoura, W., Zainol, Z., Teh, J., Alawida, M., Alabdulatif, A.: Hybrid SVD-based image watermarking schemes: a review. IEEE Access 9, 32931–32968 (2021)
Makbol, N., Khoo, B.: A new robust and secure digital image watermarking scheme based on the integer wavelet transform and singular value decomposition. Digit. Sig. Process. 33, 134–147 (2014)
Cheema, A., Adnan, S., Mehmood, Z.: A novel optimized semi-blind scheme for color image watermarking. IEEE Access 8, 169525–169547 (2020)
Mishra, A., Agarwal, C.: Toward optimal watermarking of grayscale images using the multiple scaling factor–based cuckoo search technique. Bio-Inspired Computation and Applications in Image Processing, pp. 131–155 (2016)
Liu, J., Huang, J., Luo, Y., Cao, L., Yang, S., Wei, D., Zhou, R.: An optimized image watermarking method based on HD and SVD in DWT domain. IEEE Access 7, 80849–80860 (2019)
Nazir, H., Bajwa, I., Samiullah, M., Anwar, W., Moosa, M.: Robust secure color image watermarking using 4D hyperchaotic system, DWT, HbD, and SVD based on improved FOA algorithm. Secur. Commun. Netw. 2021, 1–17 (2021)
Aydilek, İ.: A hybrid firefly and particle swarm optimization algorithm for computationally expensive numerical problems. Appl. Soft Comput. 66, 232–249 (2018)
Diwakar, M., Tripathi, A., Joshi, K., Sharma, A., Singh, P., Kumar, N.: A comparative review: medical image fusion using SWT and DWT. Mater. Today: Proc. 37, 3411–3416 (2021)
http://decsai.ugr.es/cvg/dbimagenes.php. 2021/03/27
Nejati, M., Samavi, S., Shirani, S.: Multi-focus image fusion using dictionary-based sparse representation. Inf. Fusion 25, 72–84 (2015)
Anand, A., Singh, A.: An improved DWT-SVD domain watermarking for medical information security. Comput. Commun. 152, 72–80 (2020)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Singh, O.P., Singh, A.K. (2022). Image Fusion-Based Watermarking in IWT-SVD Domain. In: Gupta, D., Sambyo, K., Prasad, M., Agarwal, S. (eds) Advanced Machine Intelligence and Signal Processing. Lecture Notes in Electrical Engineering, vol 858. Springer, Singapore. https://doi.org/10.1007/978-981-19-0840-8_12
Download citation
DOI: https://doi.org/10.1007/978-981-19-0840-8_12
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-0839-2
Online ISBN: 978-981-19-0840-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)