Robust zero-watermarking algorithm for medical images based on K-means and DCT Online publication date: Mon, 24-Oct-2022
by Wenxing Zhang; Jingbing Li; Uzair Aslam Bhatti; Mengxing Huang; Jixin Ma; Cheng Zeng
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 23, No. 2, 2022
Abstract: To better protect patient information in medical images and improve the security of medical image transmission, this paper studies a robust watermarking algorithm for medical images based on K-means and Discrete Cosine Transform (DCT). Firstly, the watermark is pre-processed by chaotic encryption to make it more secure. Then, the K-means clustering algorithm is used to classify the grey values of the pixels in the medical image to obtain the feature image after the cluster segmentation; then the DCT is used to extract the feature coefficient matrix and transform it into the feature hash sequence of the image. Finally, the zero-watermark technology is used to combine the feature hash sequence with the encrypted watermark to realise the embedding and extraction of the watermark. Experiments show that the algorithm not only can resist conventional attacks, but also has good robustness against geometric attacks.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Wireless and Mobile Computing (IJWMC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook