Design and Development of Secure Medical Image Zero watermarking Systems

Abstract

The rapid advancement of digital technologies has necessitated robust mechanisms for protecting sensitive and confidential data, particularly in image-based applications. Traditional image protection techniques, such as blind, non-blind, and semi-blind watermarking, have been widely employed to ensure copyright protection and data integrity. However, these methods involve embedding a watermark directly into the image, which, although effective, often results in challenges such as image quality degradation, vulnerability to tampering, and reduced resilience against various manipulations like rotation, scaling, and translation. To address these limitations, this thesis introduces a robust and secure zero-watermarking system, which significantly advances digital image protection. Unlike traditional methods, the zero-watermarking approach does not alter the original image but instead utilizes inherent features extracted from the content to create a secure watermark. This approach ensures the preservation of the original image s quality while offering strong protection against various manipulations. The research aims to develop a novel zero-watermarking framework specifically designed for medical datasets, addressing key requirements such as imperceptibility, robustness, security, and reversibility of the watermark. Additionally, the framework integrates a cryptosystem to enhance the security and resilience of the watermark, ensuring reliable protection against unauthorized access or tampering. By combining advanced feature extraction techniques with cryptographic methods, the proposed system provides robust copyright security while maintaining the integrity of the original medical data.