Research Article
Noise Estimation and Type Identification in Natural Scene and Medical Images using Deep Learning Approaches
Table 3
Training parameters for CNN model for both medical images and natural scene images.
| Parameters | Descriptions |
| Input layer | 112 × 112 × 1 | First layer | Filter kernel size is 3 × 3 with 8 filters with padding. | Batch normalization and ReLU layer | Second layer | Kernel size is 3 × 3 with 16 filters with padding | Batch normalization and ReLU layer | Third layer | Kernel size is 3 × 3 with 32 filters with padding | Batch normalization and ReLU layer | Fourth layer | Kernel size is 3 × 3 with 32 filters with padding | Softmax | Fitting tool | Learning rate | 1 × 10−4 | Validation frequency | 30 |
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