Design

Median Pass Filter

Apply median pass filter to remove noise while preserving edges with multiple algorithms

Schnellstart

Rufen Sie dieses Werkzeug aus Ihrem Code in drei Sprachen auf.

cURL

# 1) Request a presigned URL → returns { uploadUrl, storageKey }
curl -X POST 'https://api.elysiatools.com/api/upload/presign/image-median-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/de/api/tools/image-median-pass' \
  -F 'imageFile=uploads/2026/01/01/your-tool-1700000000000-abc123.ext' \
  -F 'algorithm=standard' \
  -F 'kernelSize=3' \
  -F 'iterations=1' \
  -F 'threshold=30' \
  -F 'preserveEdges=true' \
  -F 'channels=all' \
  -F 'format=original' \
  -F 'quality=95'

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Design

Median Pass Filter

Apply median pass filter to remove noise while preserving edges with multiple algorithms

file· DateiergebnisWerkzeug öffnen

Schnellstart

Rufen Sie dieses Werkzeug aus Ihrem Code in drei Sprachen auf.

cURL

# 1) Request a presigned URL → returns { uploadUrl, storageKey }
curl -X POST 'https://api.elysiatools.com/api/upload/presign/image-median-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/de/api/tools/image-median-pass' \
  -F 'imageFile=uploads/2026/01/01/your-tool-1700000000000-abc123.ext' \
  -F 'algorithm=standard' \
  -F 'kernelSize=3' \
  -F 'iterations=1' \
  -F 'threshold=30' \
  -F 'preserveEdges=true' \
  -F 'channels=all' \
  -F 'format=original' \
  -F 'quality=95'

Name	Typ	Erforderlich	Beschreibung
imageFile	fileUpload nötig	Ja	Upload any image file (JPEG, PNG, WebP, GIF, BMP, TIFF) to remove noise while preserving edges
algorithm	select	Nein	Choose median filter algorithm. Standard works well for most noise types
kernelSize	range	Nein	Size of the median filter kernel (must be odd). Larger kernels remove more noise but may blur details
iterations	number	Nein	Number of median filter passes. More iterations = stronger noise reduction
threshold	range	Nein	Sensitivity for noise detection. Higher values filter less aggressively
preserveEdges	checkbox	Nein	Maintain edge detail while removing noise
channels	select	Nein	Choose which color channels to process
format	select	Nein	Choose output format or keep original. PNG recommended for maximum quality
quality	number	Nein	Output quality for lossy formats (JPEG, WebP). Higher = better quality but larger file size

Median Pass Filter

Schnellstart

Median Pass Filter

Schnellstart

API-Referenz

Endpunkt

Parameter

Antwortformat

MCP-Integration

Serverkonfiguration

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