CLAHE Histogram Equalization

Apply Contrast Limited Adaptive Histogram Equalization for local contrast enhancement

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-clahe' \
  -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-clahe' \
  -F 'imageFile=uploads/2026/01/01/your-tool-1700000000000-abc123.ext' \
  -F 'tileSize=64' \
  -F 'contrastLimit=3' \
  -F 'brightnessLimit=0.01' \
  -F 'gridSize=8' \
  -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-clahe

Parameters

Name	Type	Required	Description
imageFile	fileupload required	Yes	Upload any image file (JPEG, PNG, WebP, GIF, BMP, TIFF) to apply CLAHE histogram equalization
tileSize	range	No	Size of tiles for local histogram equalization. Smaller tiles provide more local contrast enhancement
contrastLimit	range	No	Contrast amplification limit. Higher values allow stronger contrast enhancement but may amplify noise
brightnessLimit	range	No	Brightness amplification limit. Lower values prevent over-amplification of bright areas
gridSize	range	No	Number of grid divisions. Higher values create more tiles for finer local enhancement
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-clahe, 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-clahe": {
      "name": "image-clahe",
      "description": "Apply Contrast Limited Adaptive Histogram Equalization for local contrast enhancement",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=image-clahe",
      "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-clahe",
    "arguments": {
  "imageFile": "https://example.com/file.ext",
  "tileSize": 64,
  "contrastLimit": 3,
  "brightnessLimit": 0.01,
  "gridSize": 8,
  "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]