Robust Watermarking Scheme for NIfTI Medical Images

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 purpo...

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Bibliographic Details
Published in:Computers, materials & continua materials & continua, 2022, Vol.71 (2), p.3107-3125
Main Authors: Kumar, Abhishek, Udham Singh, Kamred, Devadoss Ambeth Kumar, Visvam, Kant, Tapan, Khader Jilani Saudagar, Abdul, Al Tameem, Abdullah, Al Khathami, Mohammed, Badruddin Khan, Muhammad, Hoque Abul Hasanat, Mozaherul, Mahmood Malik, Khalid
Format: Article
Language:English
Subjects:
Computed tomography
Ethical standards
Image compression
Image quality
Image transmission
Internet
Magnetic resonance imaging
Medical imaging
Robustness
Watermarking
Wavelet transforms
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Summary: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) and QR factorization is presented in this paper. When LWT and QR are combined, the NIfTI image maintains its inherent sensitivity and mitigates 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.
ISSN:1546-2226
1546-2218
1546-2226
DOI:10.32604/cmc.2022.022817