Design

Median Pass Filter

Apply median pass filter to remove noise while preserving edges with multiple 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-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/en/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'

Browse tools

Design

Median Pass Filter

Apply median pass filter to remove noise while preserving edges with multiple 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-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/en/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	Type	Required	Description
imageFile	fileupload required	Yes	Upload any image file (JPEG, PNG, WebP, GIF, BMP, TIFF) to remove noise while preserving edges
algorithm	select	No	Choose median filter algorithm. Standard works well for most noise types
kernelSize	range	No	Size of the median filter kernel (must be odd). Larger kernels remove more noise but may blur details
iterations	number	No	Number of median filter passes. More iterations = stronger noise reduction
threshold	range	No	Sensitivity for noise detection. Higher values filter less aggressively
preserveEdges	checkbox	No	Maintain edge detail while removing noise
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

Median Pass Filter

Quick start

Median Pass Filter

Quick start

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