Analysis of healthcare data security with DWT-HD-SVD based-algorithm invisible watermarking against multi-size...

Area of Science:

• Medical Imaging and Digital Health
• Information Security in Healthcare
• Digital Signal Processing

Background:

• Digital resources and multimedia enhance communication and efficiency in healthcare.
• Medical imaging (X-rays, MRIs, CT scans) is vital for diagnostics and treatment.
• Protecting sensitive medical data is critical for patient confidentiality and trust.

Purpose of the Study:

• To analyze a DWT-HD-SVD algorithm for invisible watermarking in medical data.
• To verify the integrity and security of medical images using a DWT-based hybrid technique.
• To evaluate the algorithm's performance with varying watermark sizes on X-ray images.

Main Methods:

• Implementation of a Discrete Wavelet Transform (DWT)-based hybrid watermarking technique.
• Application of the DWT-HD-SVD algorithm on X-ray images with watermark sizes of 256x256, 128x128, and 64x64.
• Assessment of imperceptibility and robustness using Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), Normalized Correlation (NC), Bit Error Rate (BER), and Bit Correction Rate (BCR).

Main Results:

• The DWT-HD-SVD watermarking algorithm demonstrates effectiveness in verifying medical data.
• Imperceptibility and robustness were quantitatively evaluated using standard metrics.
• The algorithm exhibited superior performance with smaller watermark sizes (64x64) compared to larger ones.

Conclusions:

• The proposed invisible watermarking technique provides a viable solution for securing medical data.
• The DWT-based hybrid approach offers a balance between data integrity and image quality.
• Optimizing watermark size is crucial for achieving the best performance in medical image watermarking.