@Article{cmc.2020.011359,
AUTHOR = {Xiaorui Zhang, Wenfang Zhang, Wei Sun, Tong Xu, Sunil Kumar Jha},
TITLE = {A Robust Watermarking Scheme Based on ROI and IWT for  Remote Consultation of COVID-19},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {64},
YEAR = {2020},
NUMBER = {3},
PAGES = {1435--1452},
URL = {http://www.techscience.com/cmc/v64n3/39438},
ISSN = {1546-2226},
ABSTRACT = {In the current dire situation of the corona virus COVID-19, remote 
consultations were proposed to avoid cross-infection and regional differences in medical 
resources. However, the safety of digital medical imaging in remote consultations has 
also attracted more and more attention from the medical industry. To ensure the integrity 
and security of medical images, this paper proposes a robust watermarking algorithm to 
authenticate and recover from the distorted medical images based on regions of interest 
(ROI) and integer wavelet transform (IWT). First, the medical image is divided into two 
different parts, regions of interest and non-interest regions. Then the integrity of ROI is 
verified using the hash algorithm, and the recovery data of the ROI region is calculated at 
the same time. Also, binary images with the basic information of patients are processed 
by logistic chaotic map encryption, and then the synthetic watermark is embedded in the 
medical carrier image using IWT transform. The performance of the proposed algorithm 
is tested by the simulation experiments based on the MATLAB program in CT images of 
the lungs. Experimental results show that the algorithm can precisely locate the distorted 
areas of an image and recover the original ROI on the basis of verifying image reliability. 
The maximum peak signal to noise ratio (PSNR) value of 51.24 has been achieved, which 
proves that the watermark is invisible and has strong robustness against noise, 
compression, and filtering attacks.},
DOI = {10.32604/cmc.2020.011359}
}