Sharpening filter: the classic USM — original + amount × (original − blurred). amount sets the strength; over-sharpening amplifies noise and halos.
Module：OpenCV enhancement · Task type：opencv_sharpen
Ports
Inputs
| Port | Type | Required |
|---|---|---|
in | Image / cv::Mat | ✓ |
Outputs
| Port | Type | Required |
|---|---|---|
out | cv::Mat | ✓ |
Parameters
| 参数 | 类型 | 默认值 | 范围 / 选项 | 说明 |
|---|---|---|---|---|
amount | float | 1.5 | [0.01, 10] | sharpen strength |
sigma | float | 1 | [0.1, 20] | Gaussian sigma; 0 derives it from the kernel size |
Example graph
A minimal runnable pipeline (read → process → write). Drag it into GraphStudio or open via --open; replace data/test.png with a real path.
{
"version": "2.0",
"tasks": [
{
"id": "read",
"type": "opencv_image_read",
"params": {
"file_path": "data/test.png"
}
},
{
"id": "node",
"type": "opencv_sharpen",
"params": {
"amount": 1.5,
"sigma": 1
}
},
{
"id": "save",
"type": "opencv_image_write",
"params": {
"file_path": "out_out.png"
}
}
],
"edges": [
{
"from": "read",
"from_port": "out",
"to": "node",
"to_port": "in"
},
{
"from": "node",
"from_port": "out",
"to": "save",
"to_port": "in"
}
]
}
Part of the GraphStudio node guide series; parameters reflect the latest release.