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Chandra, D. (2002) Digital Image Watermarking Using Singular Value Decomposition. In Proceedings of the IEEE 45th Midwest Symposium on Circuits and Systems, Oklahoma State University, USA, Vol. 3, 264-267.

has been cited by the following article:

• TITLE: Robust Digital Audio Watermarking Based on SVD and Modified Firefly Algorithm

  AUTHORS: Sayed Afzal Mortaza Rizvi, Sanjay Pratap Singh Chauhan

  KEYWORDS: Firefly Algorithm (FA), Multiple Scaling Factors (MSF), Singular Values, Robustness, PSNR

  JOURNAL NAME: Journal of Information Security, Vol.9 No.1, November 22, 2017

  ABSTRACT: Digital Watermarking is a technology, to facilitate the authentication, copyright protection and Security of digital media. The objective of developing a robust watermarking technique is to incorporate the maximum possible robustness without compromising with the transparency. Singular Value Decomposition (SVD) using Firefly Algorithm provides this objective of an optimal robust watermarking technique. Multiple scaling factors are used to embed the watermark image into the host by multiplying these scaling factors with the Singular Values (SV) of the host audio. Firefly Algorithm is used to optimise the modified host audio to achieve the highest possible robustness and transparency. This approach can significantly increase the quality of watermarked audio and provide more robustness to the embedded watermark against various attacks such as noise, resampling, filtering attacks etc.