Robust watermarking algorithm for medical images based on log-polar transform

• Published in: EURASIP journal on wireless communications and networking Vol. 2022; no. 1; pp. 1 - 11
• Main Authors: Li, Tianfu, Li, Jingbing, Liu, Jing, Huang, Mengxing, Chen, Yen-Wei, Bhatti, Uzair Aslam
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 25.03.2022; Springer Nature B.V; SpringerOpen
• Subjects: Algorithms; Communications Engineering; DCT; Discrete cosine transform; Embedding; Engineering; Feature extraction; Image quality; Information Systems Applications (incl.Internet); Invariance; Log-polar; Machine Learning for Trust; Medical images; Medical imaging; Networks; Robustness; Scale invariance; Security and Privacy in Computing and Communications; Signal,Image and Speech Processing; Watermarking; Log-polar; Medical images; Robustness; DCT; Watermarking
• ISSN: 1687-1499; 1687-1472; 1687-1499
• DOI: 10.1186/s13638-022-02106-6

In the information age, network security has gradually become a potentially huge problem, especially in the medical field, it is essential to ensure the accuracy and safety of images, and patient information needs to be included with minimal change. Combined log-polar transform (LPT) and discrete cosine transform (DCT), a novel robust watermarking algorithm for medical images, is proposed. It realized the lossless embedding of patient information into medical images. In the process of feature extraction and watermark embedding, the proposed algorithm reflects the characteristics of LPT, scale invariance and rotation invariance, and retains the advantages of DCT's ability to resist conventional attacks and robustness. As it adopts zero-watermarking embedding technology, it solves the defects caused by the traditional watermark embedding technology to modify the original image data and guaranteed the quality of medical images. The good experimental results show the effectiveness of this algorithm.