盲医学图像水印的 DWT-DCT 组合方法

Dr. Geetha Reddy
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摘要

随着数字技术的飞速发展,医学影像的共享和传播已变得十分普遍,带来了严峻的安全挑战。为了保护敏感的医疗数据免遭未经授权的访问和篡改,水印技术已成为一项重要的安全措施。此外,水印概念在维护这些图像的完整性和真实性方面也变得至关重要。传统的水印技术在鲁棒性和可视性方面存在局限性,尤其是对于图像质量至关重要的医学成像而言。为了克服这些挑战,这项工作引入了一种创新的盲医疗图像水印技术,该技术结合了离散小波变换(DWT)和离散余弦变换(DCT)。所提出的方法可确保在保持医学图像视觉质量的同时,实现稳健且不易察觉的水印嵌入和检索。稳健且不易察觉的医学图像水印的重要性怎么强调都不为过。随着医疗机构越来越多地采用远程医疗和电子健康记录等数字化做法,数据泄露、篡改和不道德做法的风险也随之上升。高效的水印技术对于保护病人隐私、维护医疗机构的信任和确保医疗数据的真实性至关重要。本文介绍的 DWT-DCT 组合方法提供了一种很有前景的解决方案,它可以实现安全的水印嵌入和检索,确保篡改检测和身份验证。
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A COMBINED APPROACH OF DWT-DCT FOR BLIND MEDICAL IMAGE WATERMARKING
With the rapid advancement of digital technologies, the sharing and distribution of medical images have become widespread, posing serious security challenges. To protect sensitive medical data from unauthorized access and tampering, watermarking has emerged as a crucial security measure. In addition, the concept of watermarking has become vital in preserving the integrity and authenticity of these images. Traditional watermarking techniques faced limitations in terms of robustness and visibility, especially for medical imaging, where image quality is paramount. To overcome these challenges, this work introduces an innovative blind medical image watermarking technique that combines the Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT). The proposed method ensures robust and imperceptible watermark embedding and retrieval while maintaining the visual quality of medical images. The significance of robust and imperceptible medical image watermarking cannot be overstated. As medical institutions increasingly adopt digital practices like telemedicine and electronic health records, the risk of data breaches, tampering, and unethical practices also rises. An efficient watermarking technique is crucial to protect patient privacy, maintain trust in medical institutions, and ensure the authenticity of medical data. The combined DWT-DCT approach presented in this paper offers a promising solution by enabling secure watermark embedding and retrieval, ensuring tamper detection and authentication.
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