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

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

  IJCTT-book-cover
 		 International Journal of Computer Trends and Technology (IJCTT)          
 
© 2018 by IJCTT Journal
Volume-61 Number-2
Year of Publication : 2018
Authors : Mokhtar Hussein, Dr.B.Manjula
DOI :  10.14445/22312803/IJCTT-V61P120

MLA

MLA Style: Mokhtar Hussein, Dr.B.Manjula "A Hybrid Approach for SVD and Neural Networks Based Robust Image Watermarking" International Journal of Computer Trends and Technology 61.2 (2018):117-121.

APA Style:Mokhtar Hussein, Dr.B.Manjula (2018). A Hybrid Approach for SVD and Neural Networks Based Robust Image Watermarking International Journal of Computer Trends and Technology, 61(2),117-121

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.