Authentication of medical images through a hybrid watermarking method based on Hermite-Jigsaw-SVD

Sandra L. Gomez-Coronel; Ernesto Moya-Albor; Karina Ruby Pérez-Daniel; Jorge Brieva; Ivan Cruz-Aceves; Arturo Hernandez-Aguirre; Jose Alfredo Soto-Alvarez

doi:10.1117/12.2669724

6 March 2023 Authentication of medical images through a hybrid watermarking method based on Hermite-Jigsaw-SVD

Sandra L. Gomez-Coronel, Ernesto Moya-Albor, Karina Ruby Pérez-Daniel, Jorge Brieva, Ivan Cruz-Aceves, Arturo Hernandez-Aguirre, Jose Alfredo Soto-Alvarez

Author Affiliations +

Proceedings Volume 12567, 18th International Symposium on Medical Information Processing and Analysis; 125671G (2023) https://doi.org/10.1117/12.2669724
Event: 18th International Symposium on Medical Information Processing and Analysis, 2022, Valparaíso, Chile

Abstract

This work presents a watermarking algorithm applied to medical images by using the Steered Hermite Transform (SHT), the Singular Value Decomposition (SVD), and the Jigsaw transform (JS). The principal objective is to protect the patient’s information using imperceptible watermarking and preserve its diagnosis. Thus, the watermark imperceptibility is achieved using the high-order Steered Hermite coefficients, whereas the SVD decomposition and the JS ensure the watermark against attacks. We use the medicine symbol Caduceus as a watermark. The metrics employed to evaluate the algorithm’s performance are the Peak Signal-to-Noise Ratio (PSNR), the Mean Structural Similarity Index (MSSIM), and the Normalized Cross-Correlation (NCC). The evaluation metrics over the watermarked image show that it does not suffer quantitative and qualitative changes, and the extracted watermark was recovered successfully with high PSNR values. In addition, several watermark extraction tests were performed against geometric and common processing attacks. These tests show that the proposed algorithm is robust under critical conditions of attacks, for example, against nonlinear smoothing (median filter), high noise addition (Gaussian and Salt & Pepper noise), high compression rates (JPEG compression), rotation between 0 to 180 degree, and translations up to 100 pixels.

Citation Download Citation

Sandra L. Gomez-Coronel, Ernesto Moya-Albor, Karina Ruby Pérez-Daniel, Jorge Brieva, Ivan Cruz-Aceves, Arturo Hernandez-Aguirre, and Jose Alfredo Soto-Alvarez "Authentication of medical images through a hybrid watermarking method based on Hermite-Jigsaw-SVD", Proc. SPIE 12567, 18th International Symposium on Medical Information Processing and Analysis, 125671G (6 March 2023); https://doi.org/10.1117/12.2669724

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
10 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Digital watermarking

Singular value decomposition

Medical imaging

Image processing

COVID 19

Lung

Optical information security

Show All Keywords

Keywords/Phrases

Search In:

Publication Years