Design
Reduce image noise using multiple algorithms including median, gaussian, and bilateral filtering
Chame esta ferramenta a partir do seu código em três idiomas.
# 1) Upload each file first → returns { filePath }
curl -X POST 'https://api.elysiatools.com/upload/image-noise-reduction' \
-F 'file=@/path/to/imageFile.ext'
# 2) Call the tool with the returned filePath values
curl -X POST 'https://api.elysiatools.com/pt/api/tools/image-noise-reduction' \
-F 'imageFile=/path/to/file.ext' \
-F 'algorithm=median' \
-F 'strength=1' \
-F 'kernelSize=3' \
-F 'iterations=1' \
-F 'preserveEdges=true' \
-F 'format=original' \
-F 'quality=95'Envie uma requisição POST com suas entradas em JSON. Parâmetros do tipo arquivo exigem upload prévio.
POST https://api.elysiatools.com/pt/api/tools/image-noise-reduction| Nome | Tipo | Obrigatório | Descrição |
|---|---|---|---|
| imageFile | fileupload necessário | Sim | Upload any image file (JPEG, PNG, WebP, GIF, BMP, TIFF) to reduce noise and improve image quality |
| algorithm | select | Não | Choose the denoising algorithm. Median works well for salt & pepper noise, Gaussian for random noise |
| strength | range | Não | Strength of noise reduction. Higher values remove more noise but may blur details |
| kernelSize | range | Não | Size of the filter kernel (must be odd). Larger kernels remove more noise but may blur details |
Adicione esta ferramenta ao seu servidor Model Context Protocol para que agentes de IA possam listá-la e chamá-la.
Adicione este bloco à configuração do seu cliente MCP:
{
"mcpServers": {
"elysiatools-image-noise-reduction": {
"name": "image-noise-reduction",
"description": "Reduce image noise using multiple algorithms including median, gaussian, and bilateral filtering",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=image-noise-reduction",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}Após conectar ao endpoint SSE, liste as ferramentas expostas:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}Invoque a ferramenta pelo seu id; os argumentos são construídos a partir de seus parâmetros:
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "image-noise-reduction",
"arguments": {
"imageFile": "https://example.com/file.ext",
"algorithm": "median",
"strength": 1,
"kernelSize": 3,
"iterations": 1,
"preserveEdges": true,
"format": "original",
"quality": 95
}
}
}| iterations | number | Não | Number of denoising passes. More iterations = stronger noise reduction |
| preserveEdges | checkbox | Não | Maintain edge detail while removing noise. Recommended for photos with important details |
| format | select | Não | Choose output format or keep original. PNG recommended for maximum quality |
| quality | number | Não | Output quality for lossy formats (JPEG, WebP). Higher = better quality but larger file size |
Resultado de arquivo
{
"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)"
}Dúvidas ou problemas? Contate [email protected]