Advances of Science and Technology. 6th EAI International Conference, ICAST 2018, Bahir Dar, Ethiopia, October 5-7, 2018, Proceedings

Research Article

A Comparative Analysis of Watermarked and Watermark Images Using DCT and SVD Based Multiple Image Watermarking

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  • @INPROCEEDINGS{10.1007/978-3-030-15357-1_46,
        author={Tarun Rathi and Rudra Maheshwari and Manoj Tripathy and Rahul Saraswat and X. Felix Joseph},
        title={A Comparative Analysis of Watermarked and Watermark Images Using DCT and SVD Based Multiple Image Watermarking},
        proceedings={Advances of Science and Technology. 6th EAI International Conference, ICAST 2018, Bahir Dar, Ethiopia, October 5-7, 2018, Proceedings},
        proceedings_a={ICAST},
        year={2019},
        month={3},
        keywords={Singular value decomposition (SVD) Discrete cosine transform (DCT) Peak signal to noise ratio (PSNR) Normalized correlation (NC) Accuracy rate (AR) Multiple image watermarking},
        doi={10.1007/978-3-030-15357-1_46}
    }
    
  • Tarun Rathi
    Rudra Maheshwari
    Manoj Tripathy
    Rahul Saraswat
    X. Felix Joseph
    Year: 2019
    A Comparative Analysis of Watermarked and Watermark Images Using DCT and SVD Based Multiple Image Watermarking
    ICAST
    Springer
    DOI: 10.1007/978-3-030-15357-1_46
Tarun Rathi1,*, Rudra Maheshwari2,*, Manoj Tripathy3,*, Rahul Saraswat4,*, X. Felix Joseph5,*
  • 1: Maddawalabu University
  • 2: Raj Kumar Goel Institute of Technology
  • 3: Indian Institute of Technology Roorkee
  • 4: Anand Engineering College
  • 5: Bule Hora University
*Contact email: rathi.tarun@gmail.com, rpmaheshwari@hotmail.com, tripathy.manoj@gmail.com, rahulsaraswat.ece@gmail.com, felixjoseph75@gmail.com

Abstract

In many applications of digital watermarking, watermarked image of good quality is required. But there is a trade-off between a number of embedded watermark images and quality of watermarked image. This aspect is quite important in the case of multiple digital images watermarking. In this case, multiple images singular value decomposition based watermarking algorithm performs much better than other transform based methods. This paper presents robust multiple digital images watermarking using singular value decomposition (SVD) method. The results are compared with Discrete Cosine Transform (DCT) based multiple images watermarking method. In the case of multiple images DCT watermarking or in other transform based method more coefficients are varied according to the watermark images, which degrade the quality of watermarked image. In the case of SVD image watermarking method only singular values are being varied either in single or multiple images watermarking. This helps in preserving the quality of watermarked image.