Design

Low Pass Filter

Apply low pass filter to smooth images and reduce noise with adjustable blur algorithms

file· File resultOpen tool

Quick start

Call this tool from your code in three languages.

cURL

# 1) Request a presigned URL → returns { uploadUrl, storageKey }
curl -X POST 'https://api.elysiatools.com/api/upload/presign/image-low-pass' \
  -H 'Content-Type: application/json' \
  -d '{"filename":"imageFile.ext","contentType":"application/octet-stream","size":12345}'

# 2) PUT the file bytes directly to the presigned uploadUrl
curl -X PUT '<presigned uploadUrl>' \
  --data-binary @/path/to/file.ext

# 3) Call the tool, passing the returned storageKey for each file field
curl -X POST 'https://api.elysiatools.com/en/api/tools/image-low-pass' \
  -F 'imageFile=uploads/2026/01/01/your-tool-1700000000000-abc123.ext' \
  -F 'algorithm=gaussian' \
  -F 'radius=1.5' \
  -F 'strength=0.4' \
  -F 'iterations=1' \
  -F 'preserveEdges=false' \
  -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-low-pass

Parameters

Name	Type	Required	Description
imageFile	fileupload required	Yes	Upload any image file (JPEG, PNG, WebP, GIF, BMP, TIFF) to smooth and reduce noise
algorithm	select	No	Choose the blur algorithm. Gaussian works well for most images
radius	range	No	Radius of the blur effect. Higher values create stronger smoothing
strength	range	No	Strength of the blur effect. Higher values apply more aggressive smoothing
iterations	number	No	Number of blur passes. More iterations = smoother result
preserveEdges	checkbox	No	Maintain edge detail while smoothing flat areas
channels	select	No	Choose which color channels to process
format	select	No	Choose output format or keep original. PNG recommended for maximum quality
quality	number	No	Output quality for lossy formats (JPEG, WebP). Higher = better quality but larger file size

File-type parameters must be uploaded first via POST /upload/image-low-pass, then the returned filePath is passed to the corresponding file field.

Response format

File result

JSON

{
  "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)"
}

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-low-pass": {
      "name": "image-low-pass",
      "description": "Apply low pass filter to smooth images and reduce noise with adjustable blur algorithms",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=image-low-pass",
      "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-low-pass",
    "arguments": {
  "imageFile": "https://example.com/file.ext",
  "algorithm": "gaussian",
  "radius": 1.5,
  "strength": 0.4,
  "iterations": 1,
  "preserveEdges": false,
  "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).

File parameters accept a public file URL only (https://…). Local paths, data: URIs, and Base64 strings are not supported.

Questions or issues? Contact [email protected]