@inproceedings{0c950802d7d64679b16976507ba1092b,
title = "A perceptive watermarking approach applied to covid-19 imaging data",
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.",
keywords = "COVID-19, Hermite transform, Medical watermarking, Perceptive mask, Security",
author = "Gomez-Coronel, {Sandra L.} and Ernesto Moya-Albor and Jorge Brieva and Hiram Ponce",
note = "Publisher Copyright: {\textcopyright} 2020 SPIE; 16th International Symposium on Medical Information Processing and Analysis 2020 ; Conference date: 03-10-2020 Through 04-10-2020",
year = "2020",
doi = "10.1117/12.2579766",
language = "Ingl{\'e}s",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Eduardo Romero and Natasha Lepore and Jorge Brieva and Marius Linguraru",
booktitle = "16th International Symposium on Medical Information Processing and Analysis",
address = "Estados Unidos",
}