Design

Bilateral Filter

Apply bilateral filter for edge-preserving smoothing that reduces noise while maintaining image details

file· File resultOpen tool

Quick start

Call this tool from your code in three languages.

cURL

# 1) Upload each file first → returns { filePath }
curl -X POST 'https://api.elysiatools.com/upload/image-bilateral-filter' \
  -F 'file=@/path/to/imageFile.ext'

# 2) Call the tool with the returned filePath values
curl -X POST 'https://api.elysiatools.com/en/api/tools/image-bilateral-filter' \
  -F 'imageFile=/path/to/file.ext' \
  -F 'spatialSigma=3' \
  -F 'rangeSigma=30' \
  -F 'kernelSize=5' \
  -F 'iterations=1' \
  -F 'preserveDetails=true' \
  -F 'channels=all' \
  -F 'format=original' \
  -F 'quality=95'

API reference

Send a POST request with your inputs as JSON. File parameters require a separate upload first.

Endpoint

HTTP

POST https://api.elysiatools.com/en/api/tools/image-bilateral-filter

Parameters

Name	Type	Required	Description
imageFile	fileupload required	Yes	Upload any image file (JPEG, PNG, WebP, GIF, BMP, TIFF) to apply edge-preserving bilateral filtering
spatialSigma	range	No	Controls spatial smoothing. Higher values smooth larger areas
rangeSigma	range	No	Controls edge preservation. Higher values preserve fewer edges
kernelSize	range	No	Size of the bilateral filter kernel (must be odd). Larger kernels consider more neighbors

MCP integration

Add this tool to your Model Context Protocol server so AI agents can list and call it.

Server configuration

Add this block to your MCP client configuration:

mcp.json

{
  "mcpServers": {
    "elysiatools-image-bilateral-filter": {
      "name": "image-bilateral-filter",
      "description": "Apply bilateral filter for edge-preserving smoothing that reduces noise while maintaining image details",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=image-bilateral-filter",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

List available tools

After connecting to the SSE endpoint, list the exposed tools:

tools/list

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/list"
}

Call this tool

Invoke the tool by its id, passing arguments built from its parameters:

tools/call

{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "image-bilateral-filter",
    "arguments": {
  "imageFile": "https://example.com/file.ext",
  "spatialSigma": 3,
  "rangeSigma": 30,
  "kernelSize": 5,
  "iterations": 1,
  "preserveDetails": true,
  "channels": "all",
  "format": "original",
  "quality": 95
}
  }
}

Chain multiple tools in one session with a comma-separated toolId list, e.g. /mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp (max 20).