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 2.42, ONNX Runtime 1.25.0	Download
ONNX	w8a8	Universal	QAIRT 2.42, ONNX Runtime 1.25.0	Download
QNN_DLC	float	Universal	QAIRT 2.45	Download
QNN_DLC	w8a8	Universal	QAIRT 2.45	Download
TFLITE	float	Universal	QAIRT 2.45	Download
TFLITE	w8a8	Universal	QAIRT 2.45	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:

Model checkpoint: dncnn_25
Input resolution: 256x256
Number of parameters: 555K
Model size (float): 2.12 MB
Model size (w8a8): 581 KB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
DnCNN	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	3.118 ms	0 - 143 MB	NPU
DnCNN	ONNX	float	Snapdragon® X2 Elite	4.042 ms	212 - 212 MB	NPU
DnCNN	ONNX	float	Snapdragon® X Elite	7.137 ms	180 - 180 MB	NPU
DnCNN	ONNX	float	Snapdragon® 8 Gen 3 Mobile	5.163 ms	1 - 180 MB	NPU
DnCNN	ONNX	float	Qualcomm® QCS8550 (Proxy)	6.882 ms	1 - 15 MB	NPU
DnCNN	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	4.13 ms	0 - 143 MB	NPU
DnCNN	ONNX	float	Qualcomm® QCS9075	14.432 ms	0 - 46 MB	NPU
DnCNN	ONNX	float	Qualcomm® QCS8750	4.13 ms	0 - 143 MB	NPU
DnCNN	ONNX	float	Qualcomm® QCS7181	7.137 ms	180 - 180 MB	NPU
DnCNN	ONNX	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.753 ms	0 - 34 MB	NPU
DnCNN	ONNX	w8a8	Snapdragon® X2 Elite	1.044 ms	212 - 212 MB	NPU
DnCNN	ONNX	w8a8	Snapdragon® X Elite	1.862 ms	159 - 159 MB	NPU
DnCNN	ONNX	w8a8	Snapdragon® 8 Gen 3 Mobile	1.33 ms	0 - 49 MB	NPU
DnCNN	ONNX	w8a8	Qualcomm® QCS6490	131.428 ms	60 - 63 MB	CPU
DnCNN	ONNX	w8a8	Qualcomm® QCS8550 (Proxy)	1.787 ms	0 - 46 MB	NPU
DnCNN	ONNX	w8a8	Snapdragon® 7 Gen 4 Mobile	160.653 ms	62 - 69 MB	CPU
DnCNN	ONNX	w8a8	Qualcomm® QCM6690	192.027 ms	59 - 67 MB	CPU
DnCNN	ONNX	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	1.218 ms	0 - 30 MB	NPU
DnCNN	ONNX	w8a8	Qualcomm® QCS9075	1.942 ms	0 - 46 MB	NPU
DnCNN	ONNX	w8a8	Qualcomm® QCS7790	160.653 ms	62 - 69 MB	CPU
DnCNN	ONNX	w8a8	Qualcomm® QCS8750	1.218 ms	0 - 30 MB	NPU
DnCNN	ONNX	w8a8	Qualcomm® QCS7181	1.862 ms	159 - 159 MB	NPU
DnCNN	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	2.968 ms	0 - 146 MB	NPU
DnCNN	QNN_DLC	float	Snapdragon® X2 Elite	4.17 ms	0 - 0 MB	NPU
DnCNN	QNN_DLC	float	Snapdragon® X Elite	7.194 ms	0 - 0 MB	NPU
DnCNN	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	5.046 ms	0 - 176 MB	NPU
DnCNN	QNN_DLC	float	Qualcomm® QCS8275	55.973 ms	0 - 141 MB	NPU
DnCNN	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	6.712 ms	0 - 2 MB	NPU
DnCNN	QNN_DLC	float	Qualcomm® SA8775P	13.874 ms	0 - 143 MB	NPU
DnCNN	QNN_DLC	float	Qualcomm® SA8650P	13.874 ms	0 - 143 MB	NPU
DnCNN	QNN_DLC	float	Qualcomm® SA8255P	13.874 ms	0 - 143 MB	NPU
DnCNN	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	13.453 ms	0 - 178 MB	NPU
DnCNN	QNN_DLC	float	Qualcomm® SA8295P	15.31 ms	0 - 139 MB	NPU
DnCNN	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	4.03 ms	0 - 145 MB	NPU
DnCNN	QNN_DLC	float	Qualcomm® SA7255P	55.973 ms	0 - 141 MB	NPU
DnCNN	QNN_DLC	float	Qualcomm® QCS9075	13.877 ms	0 - 2 MB	NPU
DnCNN	QNN_DLC	float	Qualcomm® QCS8750	4.03 ms	0 - 145 MB	NPU
DnCNN	QNN_DLC	float	Qualcomm® QCS7181	7.194 ms	0 - 0 MB	NPU
DnCNN	QNN_DLC	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.754 ms	0 - 31 MB	NPU
DnCNN	QNN_DLC	w8a8	Snapdragon® X2 Elite	1.207 ms	0 - 0 MB	NPU
DnCNN	QNN_DLC	w8a8	Snapdragon® X Elite	1.998 ms	0 - 0 MB	NPU
DnCNN	QNN_DLC	w8a8	Snapdragon® 8 Gen 3 Mobile	1.336 ms	0 - 46 MB	NPU
DnCNN	QNN_DLC	w8a8	Qualcomm® QCS6490	7.555 ms	2 - 4 MB	NPU
DnCNN	QNN_DLC	w8a8	Qualcomm® QCS8275	7.576 ms	0 - 29 MB	NPU
DnCNN	QNN_DLC	w8a8	Qualcomm® QCS8550 (Proxy)	1.781 ms	0 - 2 MB	NPU
DnCNN	QNN_DLC	w8a8	Qualcomm® SA8775P	2.006 ms	0 - 30 MB	NPU
DnCNN	QNN_DLC	w8a8	Qualcomm® SA8650P	2.006 ms	0 - 30 MB	NPU
DnCNN	QNN_DLC	w8a8	Qualcomm® SA8255P	2.006 ms	0 - 30 MB	NPU
DnCNN	QNN_DLC	w8a8	Qualcomm® SA7255P	7.576 ms	0 - 29 MB	NPU
DnCNN	QNN_DLC	w8a8	Snapdragon® 7 Gen 4 Mobile	3.257 ms	0 - 140 MB	NPU
DnCNN	QNN_DLC	w8a8	Qualcomm® SA8295P	4.226 ms	0 - 26 MB	NPU
DnCNN	QNN_DLC	w8a8	Qualcomm® QCM6690	39.089 ms	0 - 140 MB	NPU
DnCNN	QNN_DLC	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	1.213 ms	0 - 29 MB	NPU
DnCNN	QNN_DLC	w8a8	Qualcomm® QCS9075	1.926 ms	0 - 2 MB	NPU
DnCNN	QNN_DLC	w8a8	Qualcomm® QCS8450 (Proxy)	2.352 ms	0 - 47 MB	NPU
DnCNN	QNN_DLC	w8a8	Qualcomm® QCS7790	3.257 ms	0 - 140 MB	NPU
DnCNN	QNN_DLC	w8a8	Qualcomm® QCS8750	1.213 ms	0 - 29 MB	NPU
DnCNN	QNN_DLC	w8a8	Qualcomm® QCS7181	1.998 ms	0 - 0 MB	NPU
DnCNN	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	3.088 ms	0 - 148 MB	NPU
DnCNN	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	5.186 ms	0 - 178 MB	NPU
DnCNN	TFLITE	float	Qualcomm® QCS8275	56.393 ms	0 - 142 MB	NPU
DnCNN	TFLITE	float	Qualcomm® QCS8550 (Proxy)	6.925 ms	0 - 2 MB	NPU
DnCNN	TFLITE	float	Qualcomm® SA8775P	14.164 ms	0 - 145 MB	NPU
DnCNN	TFLITE	float	Qualcomm® SA8650P	14.164 ms	0 - 145 MB	NPU
DnCNN	TFLITE	float	Qualcomm® SA8255P	14.164 ms	0 - 145 MB	NPU
DnCNN	TFLITE	float	Qualcomm® QCS8450 (Proxy)	13.91 ms	1 - 175 MB	NPU
DnCNN	TFLITE	float	Qualcomm® SA8295P	15.608 ms	0 - 141 MB	NPU
DnCNN	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	4.124 ms	0 - 149 MB	NPU
DnCNN	TFLITE	float	Qualcomm® SA7255P	56.393 ms	0 - 142 MB	NPU
DnCNN	TFLITE	float	Qualcomm® QCS9075	14.438 ms	0 - 4 MB	NPU
DnCNN	TFLITE	float	Qualcomm® QCS8750	4.124 ms	0 - 149 MB	NPU
DnCNN	TFLITE	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.718 ms	0 - 31 MB	NPU
DnCNN	TFLITE	w8a8	Snapdragon® 8 Gen 3 Mobile	1.3 ms	0 - 46 MB	NPU
DnCNN	TFLITE	w8a8	Qualcomm® QCS6490	7.819 ms	0 - 3 MB	NPU
DnCNN	TFLITE	w8a8	Qualcomm® QCS8275	7.519 ms	0 - 28 MB	NPU
DnCNN	TFLITE	w8a8	Qualcomm® QCS8550 (Proxy)	1.724 ms	0 - 4 MB	NPU
DnCNN	TFLITE	w8a8	Qualcomm® SA8775P	1.984 ms	0 - 30 MB	NPU
DnCNN	TFLITE	w8a8	Qualcomm® SA8650P	1.984 ms	0 - 30 MB	NPU
DnCNN	TFLITE	w8a8	Qualcomm® SA8255P	1.984 ms	0 - 30 MB	NPU
DnCNN	TFLITE	w8a8	Qualcomm® SA7255P	7.519 ms	0 - 28 MB	NPU
DnCNN	TFLITE	w8a8	Snapdragon® 7 Gen 4 Mobile	3.214 ms	0 - 141 MB	NPU
DnCNN	TFLITE	w8a8	Qualcomm® SA8295P	4.175 ms	0 - 26 MB	NPU
DnCNN	TFLITE	w8a8	Qualcomm® QCM6690	39.027 ms	0 - 141 MB	NPU
DnCNN	TFLITE	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	1.175 ms	0 - 29 MB	NPU
DnCNN	TFLITE	w8a8	Qualcomm® QCS9075	1.846 ms	0 - 3 MB	NPU
DnCNN	TFLITE	w8a8	Qualcomm® QCS8450 (Proxy)	2.355 ms	0 - 48 MB	NPU
DnCNN	TFLITE	w8a8	Qualcomm® QCS7790	3.214 ms	0 - 141 MB	NPU
DnCNN	TFLITE	w8a8	Qualcomm® QCS8750	1.175 ms	0 - 29 MB	NPU

License

The license for the original implementation of DnCNN can be found here.

References

Community

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Paper for qualcomm/DnCNN

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

Paper • 1608.03981 • Published Aug 13, 2016