Gungor, Murat Alparslan2021-11-012021-11-0120210030-40261618-1336https://doi.org/10.1016/j.ijleo.2021.166652https://hdl.handle.net/11491/7260Coronavirus disease (COVID-19), detected in Wuhan City, Hubei Province, China, is a pandemic disease and affecting all people in the world. Real-time reverse transcription polymerase chain reaction (RT-PCR) test is the standard clinical tool for the diagnosis of COVID-19. Computed Tomography (CT) is an alternative method to RT-PCR test for the diagnosis of COVID-19 due to some disadvantages of the RT-PCR test. In this method, the target is to determine coronavirus pneumonia from CT images. However, high noise decreases the image quality, so a noise reduction filter is used. The wavelet functions are widely used to reduce noise in images. In this study, a performance comparison of the different wavelet functions in CT image denoising is proposed. Significant remarks are obtained from the analysis to improve the quality for CT exams of COVID-19 disease.eninfo:eu-repo/semantics/openAccessCoronavirusCovid-19Wavelet denoisingComputed tomographyArticle23510.1016/j.ijleo.2021.166652Q2WOS:0006351967000012-s2.0-8510205356133688101Q1