Super Resolution Techniques for COVID-19 Chest X-ray Images
4th International Conference on Intelligent Computing and Communication, ICICC 2020
; 197 LNNS:549-558, 2021.
Article
in English
| Scopus | ID: covidwho-1342952
ABSTRACT
COVID-19 is a respiratory infectious disease caused by a novel coronavirus-II. COVID-19 has affected a few millions of people across the globe with alarming death toll rate. Chest X-rays are widely available modality for immediate care in diagnosing COVID-19. X-ray images inherently possess significant amount of noise, and image resolution depends on radiation dosage. Diagnosis of COVID-19 chest X-rays would be more precise with high-resolution images. The aim of the current work is to explore selected super-resolution techniques for COVID-19 chest X-ray images. The samples are taken from COVID-19 chest X-ray public dataset. We conducted the experiments on COVID-19 chest X-ray public dataset. The super-resolution methods produced high resolution chest X-ray images the clear view of the pulmonary opacities in chest x-ray images. Evaluation metrics used in the experiments demonstrated improvement in overall quality enhancement of the chest X-ray images. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
4th International Conference on Intelligent Computing and Communication, ICICC 2020
Year:
2021
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS