A perceptive watermarking approach applied to COVID-19 imaging data
Journal
16th International Symposium on Medical Information Processing and Analysis
Date Issued
2020
Author(s)
Gomez-Coronel, Sandra L.
Type
Resource Types::text::conference output::conference proceedings::conference paper
Abstract
This work presents a watermarking algorithm applied to medical images of COVID-19 patients. The principal objective is to protect the information of the patient using an imperceptible watermarking and to preserve its diagnose. Our technique is based on a perceptive approach to insert the watermark by decomposing the medical image using the Hermite transform. We use as watermark two image logos, including text strings to demonstrate that the watermark can contain relevant information of the patient. Some metrics were applied to evaluate the performance of the algorithm. Finally, we present some results about robustness with some attacks applied to watermark images. © 2020 SPIE