Design

Image Noise Reduction

Reduce image noise using multiple algorithms including median, gaussian, and bilateral filtering

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-noise-reduction' \
  -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-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'

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-noise-reduction

Parameters

Name	Type	Required	Description
imageFile	fileupload required	Yes	Upload any image file (JPEG, PNG, WebP, GIF, BMP, TIFF) to reduce noise and improve image quality
algorithm	select	No	Choose the denoising algorithm. Median works well for salt & pepper noise, Gaussian for random noise
strength	range	No	Strength of noise reduction. Higher values remove more noise but may blur details
kernelSize	range	No	Size of the filter kernel (must be odd). Larger kernels remove more noise but may blur details

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-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"
    }
  }
}

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-noise-reduction",
    "arguments": {
  "imageFile": "https://example.com/file.ext",
  "algorithm": "median",
  "strength": 1,
  "kernelSize": 3,
  "iterations": 1,
  "preserveEdges": true,
  "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).

Browse tools Open tool