Robust Zero-watermarking Algorithm for Medical Images Based on GFTT-KAZE and DCT

As medical technology advances, medical images are becoming increasingly important in diagnosis and therapy. However, due to the potential repercussions of leaking or tampering, which could jeopardize patient privacy and treatment, the protection and management of medical images has become a critica...

Full description

Saved in:
Bibliographic Details
Published in2023 26th ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter) pp. 290 - 297
Main Authors Dong, Shilong, Li, Jingbing, Bhatti, Uzair Aslam, Ma, Jixin, Dong, Fangchun, Li, Yanyi
Format Conference Proceeding
LanguageEnglish
Published IEEE 05.07.2023
Subjects
chaos encryption
DCT
Discrete cosine transforms
Encryption
Feature extraction
GFTT
KAZE
Medical treatment
perceptual hashing
Privacy
Resists
Watermarking
Zero-watermarking
Online AccessGet full text
DOI10.1109/SNPD-Winter57765.2023.10223753

Cover

More Information
Summary:As medical technology advances, medical images are becoming increasingly important in diagnosis and therapy. However, due to the potential repercussions of leaking or tampering, which could jeopardize patient privacy and treatment, the protection and management of medical images has become a critical concern. As a result, ensuring the encryption and confidentiality of medical images has become critical. Based on GFTT-KAZE-DCT, this research provides a strong digital watermarking system for medical photos. To begin, the GFTT (Good Features to Track) method is used to extract feature points from medical pictures. To describe the feature points, the KAZE method is used, resulting in a feature descriptor matrix. Perceptual hashing is used to further process the initial image. The feature matrix created by the KAZE descriptor is then subjected to DCT (Discrete Cosine Transform). The coefficient matrix generated by DCT is used to acquire the desired eigenvector. To better resist geometric and conventional attacks, the watermark is flexibly integrated with chaos encryption technology, hash function, and the "third-party concept." In conclusion, our algorithm provides an effective way for protecting the privacy and integrity of medical images. It incorporates advanced techniques such as GFTT-KAZE-DCT and perceptual hash, and it can withstand a variety of attacks.
DOI:10.1109/SNPD-Winter57765.2023.10223753