Abstract
In this chapter, a new frequency domain transformation based digital watermarking technique has been introduced. The proposed technique adopts logarithmic transformation in order to embed the watermark image into the host image. The algorithm is subjected for various security attacks and compared with other frequently available digital watermarking schemes. The results obtained from the proposed algorithm are more satisfied compared to the existing systems.
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
References
Nezhadarya E, Wang ZJ, Ward RK (2017) Robust image watermarking based on multiscale gradient direction quantization. IEEE Trans Inf Forensic Secur 6(4):1200–1213
Ahmaderaghi B, Kurugollu F, Del Rincon JM, Bouridane A (2018) Blind image watermark detection algorithm based on discrete shearlet transform using statistical decision theory. IEEE Trans Comput Imaging 4(1):46–59
Prajwalasimha SN (2018) Pseudo Hadamard transformation based image encryption scheme. In: Integrated intelligence computing, communication and security. Studies in computational intelligence, Springer, Chapter 58, Vol 771, pp 375–384
Khanna AK, Roy NR, Verma B (2017) Digital image watermarking and its optimization using genetic algorithm. In: Proceedings of international conference on computing, communication and automation (ICCCA2016), pp 1140–1144
Prajwalasimha SN, Shetter A, Swapna H (2018) Digital image watermarking using tenth root of exponential function. In: Proceedings of IEEE international conference on recent trends in electronics, information & communication technology, pp 634–637
Salama AS, Mokhtar MA (2016) Combined technique for improving digital image watermarking. In: Proceedings of 2nd IEEE international conference on computer and communications, pp 557–562
Kumar S, Dutta A (2016) Performance analysis of spatial domain digital watermarking techniques. In: Proceedings of international conference on information communication and embedded system (ICICES)
Bi H, Zhao C, Liu Y, Li N (2016) Digital watermarking based on interleaving extraction block compressed sensing in Contourlet domain. In: Proceedings of 9th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI), pp 766–770
Mitashe MR, Habib ARB, Razzaque A, Tanima IA, Uddin J (2017) An adaptive digital image watermarking scheme with PSO, DWT and XFCM. In: Proceedings of IEEE international conference on imaging, vision & pattern recognition (ICIVPR)
Agarwal R, Santhanam MS, Srinivas K (2016) Digital watermarking: an approach based on Hilbert transform. In: Proceedings of international conference on computing, communication and automation (ICCCA), pp 1035–1042
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Prajwalasimha, S.N., Sowmyashree, A.N., Suraksha, B., Shashikumar, H.P. (2019). Logarithmic Transform based Digital Watermarking Scheme. In: Pandian, D., Fernando, X., Baig, Z., Shi, F. (eds) Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB). ISMAC 2018. Lecture Notes in Computational Vision and Biomechanics, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-030-00665-5_2
Download citation
DOI: https://doi.org/10.1007/978-3-030-00665-5_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-00664-8
Online ISBN: 978-3-030-00665-5
eBook Packages: EngineeringEngineering (R0)