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Integer wavelet transform based watermarking scheme for medical image authentication

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Abstract

In this work, a blind watermarking scheme has been proposed for medical image authentication. The scheme can embed patients’ records in digital format into a digital copy of a computerized scan. In this scheme, an Integer Wavelet Transform (IWT) is applied to the medical image prior to the embedding procedure. Here LH, HH, and HL sub-bands of the IWT are used for watermark embedding. To ensure the security of the scheme a SHA-512 hash algorithm is applied to the watermark, and the hash value is embedded within the digital copy of the scanned image to ensure the authenticity of the scanned copy. Depending on a shared secret key, the IWT coefficients are selected from random positions before embedding the watermark. The results show that the proposed scheme achieved 78.5 dB PSNR with an NCC value of 0.9805, and SSIM is near about 1 after embedding 65,280 bits of watermark information. The experimental outcomes are compared with some state-of-the-art schemes to show the superiority of the proposed scheme in terms of robustness and imperceptibility.

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The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

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  1. Partha Chowdhuri and Pabitra Pal contributed equally to this work.

Authors and Affiliations

  1. Department of Computer Science, Silda Chandra Sekhar College, Silda, Jhargram, 721515, West Bengal, India

    Ashis Dey

  2. Department of Computer Science, Vidyasagar University, Vidyasagar University Road, Paschim Medinipur, 721102, West Bengal, India

    Partha Chowdhuri

  3. Department of Computer Applications, Maulana Abul Kalam Azad University of Technology, Simhat, Nadia, 741249, West Bengal, India

    Pabitra Pal

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  1. Ashis Dey
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All authors contributed to the study conception and design, material preparation, data collection and analysis.

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Correspondence to Partha Chowdhuri.

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Dey, A., Chowdhuri, P. & Pal, P. Integer wavelet transform based watermarking scheme for medical image authentication. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-18183-2

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