Design

Image Noise Reduction

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

file· Resultado de arquivoAbrir ferramenta

Início rápido

Chame esta ferramenta a partir do seu código em três idiomas.

cURL

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

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Design

Image Noise Reduction

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

file· Resultado de arquivoAbrir ferramenta

Início rápido

Chame esta ferramenta a partir do seu código em três idiomas.

cURL

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

Nome	Tipo	Obrigatório	Descrição
imageFile	fileupload necessário	Sim	Upload any image file (JPEG, PNG, WebP, GIF, BMP, TIFF) to reduce noise and improve image quality
algorithm	select	Não	Choose the denoising algorithm. Median works well for salt & pepper noise, Gaussian for random noise
strength	range	Não	Strength of noise reduction. Higher values remove more noise but may blur details
kernelSize	range	Não	Size of the filter kernel (must be odd). Larger kernels remove more noise but may blur details
iterations	number	Não	Number of denoising passes. More iterations = stronger noise reduction
preserveEdges	checkbox	Não	Maintain edge detail while removing noise. Recommended for photos with important details
format	select	Não	Choose output format or keep original. PNG recommended for maximum quality
quality	number	Não	Output quality for lossy formats (JPEG, WebP). Higher = better quality but larger file size

Image Noise Reduction

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Image Noise Reduction

Início rápido

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