Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Digital Image Watermarking Algorithm Using Eigen Values and Singular Value Decomposition for Gray Level Images

Author : Dr P. Shanthi 1

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.

Reference :

    1. Wei Wang, Chengxi Wang, “A Watermarking Algorighm for Gray-level Watermark based on Local Feature Region and SVD”, International Congress on Image and Signal Processing, 2008, 650-654.
    2. P.Shanthi, R.S Bhuvaneswaran “Dual Image Watermarking Based on DWT-SVD ” is published an “International Journal of Future Innovative Science and Engineering Research (IJFISER) ” Volume-2, Issue-4, Dec - 2016.
    3. Shuo-Tsung Chen, Huang-Nan Huang, Chur-Jen Chen, Kuo-Kun Tseng, Shu-YiTu, “Adaptive audio watermarking via the optimization point of view on the wavelet-based entropy”, Digital Signal Processing, 23 (2013) 971–980.
    4. Th. Rupachandra Singh, Kh. Manglem Singh, Sudipta Roy, “Video Watermarking Scheme based on Visual Cryptography and Scene Change Detection”, International Journal of Electronics and Communications, Volume 67, Issue 8, August 2013, Pages 645–651.
    5. Frederic Lusson, Karen Bailey, Mark Leeney, Kevin Curran. "A Novel Approach to Digital Watermarking, exploiting Colour Spaces", Signal Processing, 93 (2013) 1268–1294.
    6. F. Qi, J. Wu, G. Shi, “Extracting Regions of Attention by Imitating the Human Visual System”, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2009, 1905–1908.

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