Image Linear Transformation

Apply linear transformation (a * input + b) to adjust image levels, brightness, and contrast

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-linear' \
  -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-linear' \
  -F 'imageFile=uploads/2026/01/01/your-tool-1700000000000-abc123.ext' \
  -F 'multiplier=1' \
  -F 'offset=0' \
  -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-linear

Parameters

Name	Type	Required	Description
imageFile	fileupload required	Yes	Upload any image file to apply linear transformation
multiplier	text	No	Multiplier value (a). Can be single number for all channels or comma-separated values for each channel. Formula: result = a * input + b
offset	text	No	Offset value (b). Can be single number for all channels or comma-separated values for each channel. Formula: result = a * input + b
channels	select	No	Apply transformation to specific channels or all channels
format	select	No	Choose output format or keep original
quality	number	No	Output quality for lossy formats

File-type parameters must be uploaded first via POST /upload/image-linear, 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-linear": {
      "name": "image-linear",
      "description": "Apply linear transformation (a * input + b) to adjust image levels, brightness, and contrast",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=image-linear",
      "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-linear",
    "arguments": {
  "imageFile": "https://example.com/file.ext",
  "multiplier": "1",
  "offset": "0",
  "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]