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SVD-DCT Based Medical Image Watermarking in NSCT Domain

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Quantum Computing:An Environment for Intelligent Large Scale Real Application

Part of the book series: Studies in Big Data ((SBD,volume 33))

Abstract

Medical images are of high importance and patient data must be kept confidential. In this chapter, we discuss a new hybrid transform domain technique for medical image watermarking and provide a detailed analysis of existing image watermarking methods. The proposed method uses a combination of nonsubsampled contourlet transform (NSCT), discrete cosine transform (DCT) and singular value decomposition (SVD) to achieve high capacity, robustness and imperceptibility. This method is non blind which requires cover image in receiver to extract watermarked image. Cover and watermark images are pre-processed in order to ensure accurate extraction of watermark. In this approach, we have considered medical images as cover and electronic patient record (EPR) is used as secret message. EPR message is embedded into selected sub band of cover image with selected gain factor so that there should be a good trade off among imperceptibility, robustness and capacity. NSCT increases hiding capacity and is more resistant to geometrical attacks. The combination of NSCT with DCT and SVD enhanced the perceptual quality and security of watermarked image. Experimental demonstration proved that the proposed method provides high robustness against geometrical and signal processing attacks in terms of peak signal to noise ratio (PSNR) and correlation coefficient (CC).

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, V. B. S. Purvanchal University, Jaunpur, Uttar Pradesh, India

    Siddharth Singh

  2. Department of Computer Science, Banasthali University, Banasthali, Rajasthan, India

    Rajiv Singh

  3. Department of Computer Science and Engineering, Jaypee University of Information Technology, Waknaghat, Solan, Himachal Pradesh, India

    Amit Kumar Singh

  4. Department of Electronics and Communication, University of Allahabad, Allahabad, Uttar Pradesh, India

    Tanveer J. Siddiqui

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  1. Siddharth Singh
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  2. Rajiv Singh
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  4. Tanveer J. Siddiqui
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Correspondence to Rajiv Singh .

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  1. Faculty of Computers and Information, Cairo University , Cairo, Egypt

    Aboul Ella Hassanien

  2. Faculty of Computer and Information Sciences, Mansoura University, Mansoura, Egypt

    Mohamed Elhoseny

  3. Systems Research Institute, Polish Academy of Sciences , Warsaw, Poland

    Janusz Kacprzyk

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Singh, S., Singh, R., Singh, A.K., Siddiqui, T.J. (2018). SVD-DCT Based Medical Image Watermarking in NSCT Domain. In: Hassanien, A., Elhoseny, M., Kacprzyk, J. (eds) Quantum Computing:An Environment for Intelligent Large Scale Real Application . Studies in Big Data, vol 33. Springer, Cham. https://doi.org/10.1007/978-3-319-63639-9_20

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