Sivaprakash Asokan, Rajan Samuel Nadar Edward, Selvaperumal Sundaramoorthy
Department of Electrical & Electronics Engineering, Mepco Schlenk Engineering College (Autonomous), Sivakasi- 626005, Tamilnadu, India.
Department of Electrical and Electronics Engineering, Syed Ammal Engineering College, Ramanathapuram- 623502, Tamil Nadu, India.
Curr Med Imaging Rev. 2019;15(8):802-809. doi: 10.2174/1573405615666190408115158.
Privacy protection has been a critical issue in the delivery of medical images for telemedicine, e-health care and other remote medical systems.
The aim of this proposed work is to implement a secure, reversible, digital watermarking technique for the transmission of medical data remotely in health care systems.
In this research work, we employed a novel optimized digital watermarking scheme using discrete wavelet transform and singular value decomposition using cuckoo search algorithm based on Lévy flight for embedding watermark into the grayscale medical images of the patient. The performance of our proposed algorithm is evaluated on four different 256 × 256 grayscale host medical images and a 32 × 32 binary logo image.
The performance of the proposed scheme in terms of peak signal to noise ratio was remarkably high, with an average of 55.022dB compared to other methods.
Experimental results reveal that the proposed method is capable of achieving superior performance compared to some of the state-of-art schemes in terms of robustness, security and high embedding capacity which is required in the field of telemedicine and e-health care system.
隐私保护一直是远程医疗、电子医疗保健及其他远程医疗系统中医学图像传输的关键问题。
本研究工作旨在实现一种安全、可逆的数字水印技术，用于医疗保健系统中医疗数据的远程传输。
在本研究中，我们采用了一种新颖的优化数字水印方案，该方案使用离散小波变换和基于莱维飞行的布谷鸟搜索算法进行奇异值分解，将水印嵌入患者的灰度医学图像中。我们在四张不同的256×256灰度宿主医学图像和一张32×32二值标志图像上评估了所提算法的性能。
所提方案在峰值信噪比方面的性能非常高，与其他方法相比，平均为55.022dB。
实验结果表明，与远程医疗和电子医疗保健系统领域所需的一些现有技术方案相比，所提方法在鲁棒性、安全性和高嵌入容量方面能够实现卓越性能。
