A Learning Based Noise Removal Method for COVID-19 Detection Using Chest X-Ray Image

Abstract

An infectious disease known as covid-19 spread throughout the globe in the year 2019. Covid-19 initially originated from a research lab located in Wuhan, China. Covid-19 has affected around more than 79 countries across the globe. Covid-19 had majorly affected the Indian economy in terms of financial and human resource loss. More than half millions of people in India died due to Covid-19. Initially the detection of covid-19 is one of the major concerns as the testing kits and slots are limited. Also, the expected time for a covid-19 patient to receive report was more than 36 hours. To address this major challenge radiologists, start to detect the covid-19 from the patient chest X-ray image. In this paper a novel method had been proposed to enhance the chest X-ray images for better detection of the Covid-19. The proposed method had shown the better PSNR value in contrast with existing methods.