Noise Estimation and Type Identification in Natural Scene and Medical Images using Deep Learning Approaches
Table 7
Performance of noise type identification for natural images and medical images.
Gaussian
Motion
Poisson
Salt-and-pepper
Speckle
Average
(a) Performance of noise type identification for natural imagesa
Precision
1.0
1.0
1.0
1.0
1.0
1.0
Recall
1,0
1.0
1.0
1.0
1,0
1.0
F1-score
1.0
1.0
1.0
1.0
1.0
1.0
Accuracy
1.0
1.0
1.0
1.0
1.0
1.0
(b) Performance of noise type identification for medical imagesb
Precision
0.954
1.0
0.873
1.0
0.986
0.963
Recall
0.981
1.0
1.0
0.939
0.962
0.976
F1-score
0.967
1.0
0.932
0.965
0.974
0.977
Accuracy
0.955
1.0
0.873
1.0
0.986
0.963
aThis shows the average precision, recall, F1-score, and accuracy is 1.0. bThis shows the average precision obtained is 0.963 and recall is 0.976. F1-score is 0.977 and accuracy is 0.963.