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SnapOtter/apps/docs/id/tools/image/noise-removal.md
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Penghilangan noise dan grain bertenaga AI dengan opsi kualitas multi-tingkat. f0dfc876e0e0 human 0d5fc72e4c42

Noise Removal

Penghilangan noise dan grain bertenaga AI dengan opsi kualitas multi-tingkat, menggunakan sidecar Python (model SCUNet).

API Endpoint

POST /api/v1/tools/image/noise-removal

Processing: Asinkron (mengembalikan 202, polling /api/v1/jobs/{jobId}/progress untuk status via SSE)

Model bundle: upscale-enhance (5-6 GB)

Parameters

Parameter Type Required Default Description
file file Yes - Berkas gambar (multipart)
tier string No "balanced" Tingkat kualitas: quick, balanced, quality, maximum
strength number No 50 Kekuatan denoising (0-100)
detailPreservation number No 50 Seberapa banyak detail yang dipertahankan (0-100). Nilai lebih tinggi menyimpan lebih banyak tekstur
colorNoise number No 30 Kekuatan pengurangan noise warna (0-100)
format string No "original" Format output: original, png, jpeg, webp, avif, jxl
quality number No 90 Kualitas enkode output (1-100)

Example Request

curl -X POST http://localhost:1349/api/v1/tools/image/noise-removal \
  -F "file=@noisy-photo.jpg" \
  -F 'settings={"tier":"quality","strength":60,"detailPreservation":70,"colorNoise":40}'

Response

Initial Response (202 Accepted)

{
  "jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "async": true
}

Progress (SSE at /api/v1/jobs/{jobId}/progress)

event: progress
data: {"phase":"processing","stage":"Denoising...","percent":65}

Final Result (via SSE)

{
  "phase": "complete",
  "percent": 100,
  "result": {
    "jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
    "downloadUrl": "/api/v1/download/{jobId}/noisy-photo_denoised.jpg",
    "originalSize": 500000,
    "processedSize": 380000
  }
}

Notes

  • Membutuhkan model bundle upscale-enhance terpasang (5-6 GB).
  • Tingkat kualitas menukar kecepatan dengan kualitas: quick paling cepat dengan denoising dasar, maximum menggunakan pendekatan multi-pass paling menyeluruh.
  • Parameter detailPreservation krusial untuk subjek bertekstur (kain, rambut, dedaunan). Nilai lebih tinggi mencegah denoiser menghaluskan detail halus.
  • Saat format diatur ke "original", format output mengikuti format berkas input.
  • Mendukung format input HEIC/HEIF, RAW, TGA, PSD, EXR, dan HDR via dekode otomatis.