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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

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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