Securing Medical Images by Watermarking Using DWT DCT and SVD

TL;DR

This paper proposes a blind watermarking technique for medical images using DWT, DCT, and SVD to enhance security without compromising image quality, outperforming methods based on DWT and SVD alone.

Contribution

It introduces a novel combination of DWT, DCT, and SVD for watermarking medical images, demonstrating improved performance over existing DWT and SVD methods.

Findings

Proposed method outperforms DWT and SVD watermarking techniques.

Watermarking maintains image quality and ensures data security.

Enhanced authentication and integrity for medical images.

Abstract

Telemedicine is well known application where enormous amount of medical data need to be transferred securely over network and manipulate effectively. Security of digital data, especially medical images, becomes important for many reasons such as confidentiality, authentication and integrity. Digital watermarking has emerged as a advanced technology to enhance the security of digital images. The insertion of watermark in medical images can authenticate it and guarantee its integrity. The watermark must be generally hidden does not affect the quality of the medical image. In this paper, we propose blind watermarking based on Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT) and Singular Value Decomposition (SVD), we compare the performance of this technique with watermarking based DWT and SVD. The proposed method DWT, DCT and SVD comparatively better than DWT and SVD method.