DnCNN: Optimized for Qualcomm Devices
DnCNN is a 17-layer denoising convolutional neural network that uses residual learning to remove Gaussian noise (sigma=25) from grayscale images. The network predicts the noise residual and subtracts it from the input to produce a clean image.
This is based on the implementation of DnCNN found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.
Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device.
Getting Started
There are two ways to deploy this model on your device:
Option 1: Download Pre-Exported Models
Below are pre-exported model assets ready for deployment.
| Runtime | Precision | Chipset | SDK Versions | Download |
|---|---|---|---|---|
| ONNX | float | Universal | QAIRT 2.50, ONNX Runtime 1.27.1 | Download |
| ONNX | w8a8 | Universal | QAIRT 2.50, ONNX Runtime 1.27.1 | Download |
| QNN_DLC | float | Universal | QAIRT 2.50 | Download |
| QNN_DLC | w8a8 | Universal | QAIRT 2.50 | Download |
| TFLITE | float | Universal | QAIRT 2.50 | Download |
| TFLITE | w8a8 | Universal | QAIRT 2.50 | Download |
For more device-specific assets and performance metrics, visit DnCNN on Qualcomm® AI Hub.
Option 2: Export with Custom Configurations
Use the Qualcomm® AI Hub Models Python library to compile and export the model with your own:
- Custom weights (e.g., fine-tuned checkpoints)
- Custom input shapes
- Target device and runtime configurations
This option is ideal if you need to customize the model beyond the default configuration provided here.
See our repository for DnCNN on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.image_editing
Model Stats:
- Input resolution: 256x256
- Model checkpoint: dncnn_25
- Model size (float): 2.12 MB
- Model size (w8a8): 581 KB
- Number of parameters: 555K
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| DnCNN | ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 3.176 ms | 0 - 137 MB | NPU |
| DnCNN | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 4.146 ms | 0 - 135 MB | NPU |
| DnCNN | ONNX | float | Snapdragon® X2 Elite | 4.004 ms | 1 - 1 MB | NPU |
| DnCNN | ONNX | float | Snapdragon® X Elite | 7.172 ms | 0 - 0 MB | NPU |
| DnCNN | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 5.157 ms | 1 - 170 MB | NPU |
| DnCNN | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 13.062 ms | 1 - 176 MB | NPU |
| DnCNN | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 16.066 ms | 1 - 5 MB | NPU |
| DnCNN | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 6.919 ms | 1 - 3 MB | NPU |
| DnCNN | ONNX | float | Qualcomm® QCS8450 | 13.062 ms | 1 - 176 MB | NPU |
| DnCNN | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 14.355 ms | 1 - 4 MB | NPU |
| DnCNN | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 7.172 ms | 0 - 0 MB | NPU |
| DnCNN | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 4.146 ms | 0 - 135 MB | NPU |
| DnCNN | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.81 ms | 0 - 35 MB | NPU |
| DnCNN | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 1.212 ms | 0 - 34 MB | NPU |
| DnCNN | ONNX | w8a8 | Snapdragon® X2 Elite | 1.036 ms | 1 - 1 MB | NPU |
| DnCNN | ONNX | w8a8 | Snapdragon® X Elite | 1.872 ms | 0 - 0 MB | NPU |
| DnCNN | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.327 ms | 0 - 52 MB | NPU |
| DnCNN | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 2.39 ms | 0 - 58 MB | NPU |
| DnCNN | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 7.84 ms | 0 - 3 MB | NPU |
| DnCNN | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 2.196 ms | 0 - 4 MB | NPU |
| DnCNN | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.793 ms | 0 - 2 MB | NPU |
| DnCNN | ONNX | w8a8 | Qualcomm® QCS8450 | 2.39 ms | 0 - 58 MB | NPU |
| DnCNN | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 1.893 ms | 0 - 3 MB | NPU |
| DnCNN | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 1.872 ms | 0 - 0 MB | NPU |
| DnCNN | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 38.886 ms | 0 - 141 MB | NPU |
| DnCNN | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 3.281 ms | 0 - 139 MB | NPU |
| DnCNN | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 1.212 ms | 0 - 34 MB | NPU |
| DnCNN | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 3.281 ms | 0 - 139 MB | NPU |
| DnCNN | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 3.039 ms | 0 - 143 MB | NPU |
| DnCNN | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 4.031 ms | 0 - 137 MB | NPU |
| DnCNN | QNN_DLC | float | Snapdragon® X2 Elite | 4.192 ms | 0 - 0 MB | NPU |
| DnCNN | QNN_DLC | float | Snapdragon® X Elite | 7.33 ms | 0 - 0 MB | NPU |
| DnCNN | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 5.072 ms | 0 - 171 MB | NPU |
| DnCNN | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 13.088 ms | 0 - 175 MB | NPU |
| DnCNN | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 16.013 ms | 0 - 4 MB | NPU |
| DnCNN | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 6.76 ms | 0 - 2 MB | NPU |
| DnCNN | QNN_DLC | float | Qualcomm® SA8775P | 13.901 ms | 0 - 141 MB | NPU |
| DnCNN | QNN_DLC | float | Qualcomm® SA8650P | 13.901 ms | 0 - 141 MB | NPU |
| DnCNN | QNN_DLC | float | Qualcomm® SA8255P | 13.901 ms | 0 - 141 MB | NPU |
| DnCNN | QNN_DLC | float | Qualcomm® QCS8450 | 13.088 ms | 0 - 175 MB | NPU |
| DnCNN | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 14.31 ms | 0 - 3 MB | NPU |
| DnCNN | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 7.33 ms | 0 - 0 MB | NPU |
| DnCNN | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 4.031 ms | 0 - 137 MB | NPU |
| DnCNN | QNN_DLC | float | Qualcomm® SA7255P | 55.996 ms | 0 - 137 MB | NPU |
| DnCNN | QNN_DLC | float | Qualcomm® SA8295P | 15.172 ms | 0 - 136 MB | NPU |
| DnCNN | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.805 ms | 0 - 33 MB | NPU |
| DnCNN | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 1.228 ms | 0 - 36 MB | NPU |
| DnCNN | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 1.205 ms | 0 - 0 MB | NPU |
| DnCNN | QNN_DLC | w8a8 | Snapdragon® X Elite | 1.991 ms | 0 - 0 MB | NPU |
| DnCNN | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.337 ms | 0 - 50 MB | NPU |
| DnCNN | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 2.355 ms | 0 - 55 MB | NPU |
| DnCNN | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 7.514 ms | 2 - 4 MB | NPU |
| DnCNN | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 2.181 ms | 0 - 3 MB | NPU |
| DnCNN | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.798 ms | 0 - 1 MB | NPU |
| DnCNN | QNN_DLC | w8a8 | Qualcomm® SA8775P | 1.999 ms | 0 - 34 MB | NPU |
| DnCNN | QNN_DLC | w8a8 | Qualcomm® SA8650P | 1.999 ms | 0 - 34 MB | NPU |
| DnCNN | QNN_DLC | w8a8 | Qualcomm® SA8255P | 1.999 ms | 0 - 34 MB | NPU |
| DnCNN | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 2.355 ms | 0 - 55 MB | NPU |
| DnCNN | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 1.87 ms | 0 - 2 MB | NPU |
| DnCNN | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 1.991 ms | 0 - 0 MB | NPU |
| DnCNN | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 39.527 ms | 2 - 139 MB | NPU |
| DnCNN | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 3.271 ms | 0 - 135 MB | NPU |
| DnCNN | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 1.228 ms | 0 - 36 MB | NPU |
| DnCNN | QNN_DLC | w8a8 | Qualcomm® SA8295P | 4.084 ms | 0 - 29 MB | NPU |
| DnCNN | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 3.271 ms | 0 - 135 MB | NPU |
| DnCNN | TFLITE | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 3.069 ms | 0 - 141 MB | NPU |
| DnCNN | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 4.035 ms | 0 - 142 MB | NPU |
| DnCNN | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 5.092 ms | 0 - 170 MB | NPU |
| DnCNN | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 12.976 ms | 0 - 173 MB | NPU |
| DnCNN | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 15.819 ms | 0 - 5 MB | NPU |
| DnCNN | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 6.712 ms | 0 - 2 MB | NPU |
| DnCNN | TFLITE | float | Qualcomm® SA8775P | 13.85 ms | 0 - 141 MB | NPU |
| DnCNN | TFLITE | float | Qualcomm® SA8650P | 13.85 ms | 0 - 141 MB | NPU |
| DnCNN | TFLITE | float | Qualcomm® SA8255P | 13.85 ms | 0 - 141 MB | NPU |
| DnCNN | TFLITE | float | Qualcomm® QCS8450 | 12.976 ms | 0 - 173 MB | NPU |
| DnCNN | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 13.67 ms | 0 - 4 MB | NPU |
| DnCNN | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 4.035 ms | 0 - 142 MB | NPU |
| DnCNN | TFLITE | float | Qualcomm® SA7255P | 55.989 ms | 0 - 138 MB | NPU |
| DnCNN | TFLITE | float | Qualcomm® SA8295P | 15.339 ms | 0 - 137 MB | NPU |
| DnCNN | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.773 ms | 0 - 32 MB | NPU |
| DnCNN | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 1.185 ms | 0 - 36 MB | NPU |
| DnCNN | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.296 ms | 0 - 50 MB | NPU |
| DnCNN | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 2.328 ms | 0 - 56 MB | NPU |
| DnCNN | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 7.549 ms | 0 - 3 MB | NPU |
| DnCNN | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 2.13 ms | 0 - 4 MB | NPU |
| DnCNN | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.71 ms | 0 - 17 MB | NPU |
| DnCNN | TFLITE | w8a8 | Qualcomm® QCS8450 | 2.328 ms | 0 - 56 MB | NPU |
| DnCNN | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 1.816 ms | 0 - 3 MB | NPU |
| DnCNN | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 38.741 ms | 0 - 138 MB | NPU |
| DnCNN | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 3.218 ms | 0 - 137 MB | NPU |
| DnCNN | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 1.185 ms | 0 - 36 MB | NPU |
| DnCNN | TFLITE | w8a8 | Qualcomm® SA7255P | 7.502 ms | 0 - 33 MB | NPU |
| DnCNN | TFLITE | w8a8 | Qualcomm® SA8295P | 4.071 ms | 0 - 30 MB | NPU |
| DnCNN | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 3.218 ms | 0 - 137 MB | NPU |
License
- The license for the original implementation of DnCNN can be found here.
References
- Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
- Source Model Implementation
Community
- Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
- For questions or feedback please reach out to us.
