Robust watermarking scheme for nifti medical images

Abhishek Kumar, Kamred Udham Singh, Visvam Devadoss Ambeth Kumar, Tapan Kant, Abdul Khader Jilani Saudagar, Abdullah Al Tameem, Mohammed Al Khathami, Muhammad Badruddin Khan, Mozaherul Hoque Abul Hasanat, Khalid Mahmood Malik

研究成果: Article同行評審

2 引文 斯高帕斯(Scopus)


Computed Tomography (CT) scan and Magnetic Resonance Imaging (MRI) technologies are widely used in medical field. Within the last few months, due to the increased use of CT scans, millions of patients have had their CT scans done. So, as a result, images showing the Corona Virus for diagnostic purposes were digitally transmitted over the internet. The major problem for the world health care system is a multitude of attacks that affect copyright protection and other ethical issues as images are transmitted over the internet. As a result, it is important to apply a robust and secure watermarking technique to these images. Notably, watermarking schemes have been developed for various image formats, including .jpg, .bmp, and .png, but their impact on NIfTI (Neuroimaging Informatics Technology Initiative) images is not noteworthy. A watermarking scheme based on the Lifting Wavelet Transform(LWT) andQRfactorization is presented in this paper.When LWT and QR are combined, the NIfTI image maintains its inherent sensitivity andmitigates the watermarking scheme's robustness. Multiple watermarks are added to the host image in this approach. Measuring the performance of the graphics card is done by using PSNR, SSIM, Q (a formula which measures image quality), SNR, and Normalized correlation. The watermarking scheme withstands a variety of noise attacks and conversions, including image compression and decompression.

頁(從 - 到)3107-3125
期刊Computers, Materials and Continua
出版狀態Published - 2022

All Science Journal Classification (ASJC) codes

  • 生物材料
  • 建模與模擬
  • 材料力學
  • 電腦科學應用
  • 電氣與電子工程


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