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Medical image security by crypto watermarking using enhanced chaos and fruit fly optimization algorithm with SWT and SVD

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Abstract

Telemedicine is the field that uses medical images for diagnosing various diseases. The transmitting and storing of medical images via the cloud-based network must meet several stringent criteria, including confidentiality, validity, and security, and are viewed as very sensitive, irrespective of the image processing context. Medical image copyright protection has been essential since little alterations can even put the lives of patients in danger. Hence numerous significant watermarking methods need to be developed. Watermarking conceals sensitive data by embedding it in a harmless medium, such as a cover. The challenging issue of quick and extremely safe image encryption can be solved more effectively with chaos-based cryptography. Thus the image is encrypted by using enhanced chaos with the Fruit Fly Optimization Algorithm (FFOA). The work proposes an efficient medical image watermarking approach using the Two-level Stationary Wavelet Transform (SWT) and Singular Value Decomposition (SVD) technique on chaotic encrypted medical images. Finally, the proposed method is compared with existing methods to demonstrate higher performance. To check robustness and imperceptibility results, the work is examined under various attacks and produces good results in Peak Signal-to-Noise Ratio (PSNR) and Normalized Cross Correlation (NCC) measures. For different kinds of medical images, the PSNR of the suggested methodology is greater than 40 dB, and NCC values are close to 1 illustrating the technique's superior efficacy.

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The datasets created and/or analyzed during the current work can be provided by the corresponding author upon request.

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  1. Department of Networking and Communications, School of Computing, SRM Institute of Science and Technology, Kattankulathur, 603203, India

    Abirami R & Malathy C

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  1. Abirami R
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R, A., C, M. Medical image security by crypto watermarking using enhanced chaos and fruit fly optimization algorithm with SWT and SVD. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-19019-9

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