A novel watermarking scheme for medical image using support vector machine and lifting wavelet transform.

Area of Science:

• Computer Science
• Medical Imaging
• Information Security

Background:

• Digital image watermarking is crucial for protecting digital images from unauthorized use and alteration.
• A key challenge is achieving resilience against geometrical attacks while maintaining imperceptibility and security.
• Medical images require specialized watermarking for secure and reliable data handling.

Purpose of the Study:

• To develop an efficient and robust authentication scheme for digital watermarking of medical images.
• To enhance the security and imperceptibility of watermarked medical images against geometrical assaults.
• To improve the robustness of digital image watermarking through a combination of SVM and LWT.

Main Methods:

• Utilizing Support Vector Machine (SVM) to differentiate between the Region of Interest (ROI) and Non-Region of Interest (NROI) in medical images.
• Applying Lifting Wavelet Transform (LWT) to embed watermark information specifically within the NROI of the cover image.
• Incorporating a shared secret key to bolster the robustness and security of the watermarking scheme.

Main Results:

• The proposed scheme demonstrates effective watermarking of medical images, embedding information in the NROI.
• Experimental analyses on an extensive image database confirm the scheme's performance under various conditions.
• Evaluation metrics indicate acceptable levels of imperceptibility and robustness against geometrical attacks.

Conclusions:

• The combined SVM and LWT approach offers an efficient solution for secure and robust medical image watermarking.
• The method successfully balances imperceptibility, security, and robustness, addressing a fundamental challenge in digital watermarking.
• The proposed authentication scheme provides a valuable tool for protecting the integrity of sensitive medical image data.