DnCNN
Remove Gaussian noise from grayscale images in real‑time.
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.
Not supported
This model is currently not supported on any Automotive chipset.
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View for other chipsetsTechnical Details
Model checkpoint:dncnn_25
Input resolution:256x256
Number of parameters:555K
Model size (float):2.12 MB
Model size (w8a8):581 KB
Applicable Scenarios
- Photography
- Document Scanning
- Medical Imaging
License
Model:MIT
Tags
- real-time
Supported Automotive Devices
- SA7255P ADP
- SA8255P ADP
- SA8295P ADP
- SA8650P ADP
- SA8775P ADP
Supported Automotive Chipsets
- Qualcomm® SA7255P
- Qualcomm® SA8295P
- Qualcomm® SA8775P
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