A Hybrid Approach for SVD and Neural Networks Based Robust Image Watermarking

	International Journal of P2P Network Trends and Technology (IJPTT)
	© 2018 by IJPTT Journal
	Volume-8 Issue-4
	Year of Publication : 2018
	Authors : Mokhtar Hussein, Dr. B. Manjula
	DOI :  10.14445/22492615/IJPTT-V8I4P401

Citation

MLA Style: Mokhtar Hussein, Dr. B. Manjula "A Hybrid Approach for SVD and Neural Networks Based Robust Image Watermarking" International Journal of P2P Network Trends and Technology 8.4 (2018): 1-5.

APA Style:Mokhtar Hussein, Dr. B. Manjula, (2018). A Hybrid Approach for SVD and Neural Networks Based Robust Image Watermarking. International Journal of P2P Network Trends and Technology, 8(4), 1-5.

Abstract

In the digital world, a lot of digital watermarking techniques for copyright protection of multimedia data have been proposed to avoid their misuse. Implementation of these watermarking schemes requires main focus on robustness, trustworthiness and imperceptibility. In this paper, a new SVD and Neural Network based robust image watermarking method is proposed. The proposed method is supposed to offer better quality and robustness for the image under different types of attacks and under copy move forgery attacks.

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Keywords
Digital Image Watermarking, SVD, Neural Networks.