Date of Publication :30th March 2018

Abstract: In the current globalized world, the right of ownership is at stake. This is arises due to the easy exchange of data through various channels of communications and lack of authentication. The problem of piracy can be limited to a large extent by using a technique called Digital Watermarking.. The main aim of this paper is to increase robustness by implementing the digital watermarking using Singular Value Decomposition (SVD). In this paper, instead of using the conventional SVD, introduce a new algorithm to directly compute the largest eigenvalue and eigenvector of segmented image blocks. By using this approach, our proposed watermarking scheme has lower computational complexity than various SVD based schemes. Experimental results also showed that our watermarking scheme outperforms several widely used schemes in terms of robustness. Moreover, using the proposed algorithm, we designed a digital image watermarking using eigen values and improved Singular value decomposition from gray level Images, where watermarked images can be verified without using the pre - defined watermark and a secret key.

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