Medical Image Watermarking Based on SIFT-DCT Perceptual Hashing

• Published in: Cloud Computing and Security pp. 334 - 345
• Main Authors: Liu, Jialing, Li, Jingbing, Chen, Jing, Zou, Xiangxi, Cheng, Jieren, Liu, Jing
• Format: Book Chapter
• Language: English
• Published: Cham Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Medical image; Perceptual hashing; Robustness; SIFT-DCT; Zero watermarking
• ISBN: 3030000141; 9783030000141
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-030-00015-8_29

Medical image containing patient information is often faced with various attacks in the transmission process. In order to enhance the medical information system security, and effectively solve the problem of medical data protection, a new algorithm of medical image watermarking based on SIFT-DCT perceptual hashing (scale invariant feature transform and discrete cosine transform) is proposed. Firstly, use SIFT-DCT perceptual hashing to extract features for the original medical images and quantize to generate hashing sequences. Then, use chaotic maps to encrypt the watermarking and embed it in the medical image. Finally, calculate the correlation coefficients of the embedded and extracted watermarking sequences to reflect the robustness of the algorithm. The results of experiment show that the proposed algorithm has good robustness against conventional attacks and geometric attacks, especially in terms of rotation, translation and clipping.