Design
Apply median pass filter to remove noise while preserving edges with multiple algorithms
Rufen Sie dieses Werkzeug aus Ihrem Code in drei Sprachen auf.
# 1) Upload each file first → returns { filePath }
curl -X POST 'https://api.elysiatools.com/upload/image-median-pass' \
-F 'file=@/path/to/imageFile.ext'
# 2) Call the tool with the returned filePath values
curl -X POST 'https://api.elysiatools.com/de/api/tools/image-median-pass' \
-F 'imageFile=/path/to/file.ext' \
-F 'algorithm=standard' \
-F 'kernelSize=3' \
-F 'iterations=1' \
-F 'threshold=30' \
-F 'preserveEdges=true' \
-F 'channels=all' \
-F 'format=original' \
-F 'quality=95'Senden Sie eine POST-Anfrage mit Ihren Eingaben als JSON. Dateiparameter erfordern einen vorherigen Upload.
POST https://api.elysiatools.com/de/api/tools/image-median-pass| Name | Typ | Erforderlich | Beschreibung |
|---|---|---|---|
| imageFile | fileUpload nötig | Ja | Upload any image file (JPEG, PNG, WebP, GIF, BMP, TIFF) to remove noise while preserving edges |
| algorithm | select | Nein | Choose median filter algorithm. Standard works well for most noise types |
| kernelSize | range | Nein | Size of the median filter kernel (must be odd). Larger kernels remove more noise but may blur details |
| iterations | number | Nein | Number of median filter passes. More iterations = stronger noise reduction |
Fügen Sie dieses Werkzeug Ihrem Model-Context-Protocol-Server hinzu, damit KI-Agenten es auflisten und aufrufen können.
Fügen Sie diesen Block Ihrer MCP-Client-Konfiguration hinzu:
{
"mcpServers": {
"elysiatools-image-median-pass": {
"name": "image-median-pass",
"description": "Apply median pass filter to remove noise while preserving edges with multiple algorithms",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=image-median-pass",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}Nach dem Verbinden mit dem SSE-Endpunkt listen Sie die bereitgestellten Werkzeuge auf:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}Rufen Sie das Werkzeug über seine ID auf; Argumente werden aus seiner Parameterliste gebildet:
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "image-median-pass",
"arguments": {
"imageFile": "https://example.com/file.ext",
"algorithm": "standard",
"kernelSize": 3,
"iterations": 1,
"threshold": 30,
"preserveEdges": true,
"channels": "all",
"format": "original",
"quality": 95
}
}
}| threshold | range | Nein | Sensitivity for noise detection. Higher values filter less aggressively |
| preserveEdges | checkbox | Nein | Maintain edge detail while removing noise |
| channels | select | Nein | Choose which color channels to process |
| format | select | Nein | Choose output format or keep original. PNG recommended for maximum quality |
| quality | number | Nein | Output quality for lossy formats (JPEG, WebP). Higher = better quality but larger file size |
Dateiergebnis
{
"filePath": "/public/processing/randomid.ext",
"fileName": "output.ext",
"contentType": "application/octet-stream",
"size": 1024,
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}Fragen oder Probleme? Kontakt: [email protected]