Table 2.

Performance of the proposed CNN method on different cases to classify three classes.

Category	Original images			AWGN corrupted images			Blurred images			S&P noisy images			Denoised images
	COVID-19	Normal	Pneumonia	COVID-19	Normal	Pneumonia	COVID-19	Normal	Pneumonia	COVID-19	Normal	Pneumonia	COVID-19	Normal	Pneumonia
COVID-19	0.96	0.01	0.03	0.81	0.02	0.17	0.94	0.02	0.04	0.94	0.01	0.05	0.97	0	0.03
Normal	0	1	0	0	0.99	0.01	0	1	0	0	1	0	0	1	0
Pneumonia	0	0.03	0.97	0	0.04	0.96	0	0.03	0.97	0	0	1	0.04	0	0.96
Accuracy	98.2 %	96.78 %	98 %	97.5 %	98.2 %
Testing time	2.19 Sec.	2.29 Sec.	2.5 Sec.	2.7 Sec.	2.6 Sec.