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GALOSH v0.2.0 — Windows standalone denoisers (RAW DNG / sRGB PNG)

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@luxgrain luxgrain released this 08 Jul 21:42
· 48 commits to main since this release

Standalone Windows builds of the GALOSH blind, training-free denoiser — no installation, no Python, no noise profiles. Drag & drop your files onto the exe.

日本語の使い方は各 ZIP 内の README_ja.txt にあります。

Downloads

ZIP Input → Output Size
GALOSH_RAW_win64.zip DNG → denoised DNG 83 MB
GALOSH_YUV_win64.zip sRGB PNG → denoised PNG 39 MB

Usage

  • Drag & drop DNG/PNG files onto galosh_raw.exe / galosh_yuv.exe (defaults l=1 c=1), or:
galosh_raw.exe -l 0.8 -c 1.2 photo.dng
galosh_raw.exe --gpu photo.dng          (OpenCL fast path)
galosh_yuv.exe -l 1 -c 1.2 photo.png
  • Output is written next to the original as <name>_GALOSH_l<L>_c<C>.dng/.png; the original is never modified.
  • -l = luminance strength (lower to keep grain), -c = chrominance strength (raise if color blotches remain).

Highlights

  • Fully blind: per-image Poisson–Gaussian noise fit — no noise profile, no training data, any camera.
  • Any 2×2 Bayer CFA DNG (RGGB/GRBG/GBRG/BGGR); convert native raws (NEF/CR3/ARW…) to DNG first. X-Trans / monochrome / linear DNGs are rejected with a clear error.
  • Metadata fully copied from the original via bundled ExifTool — EXIF, GPS, MakerNotes, XMP, ICC, and the DNG color-calibration tags (ColorMatrix1/2, dual-illuminant calibration, AsShotNeutral, lens opcodes), so raw converters render the same colors as the original. Deliberately not copied: NoiseProfile (no longer true after denoising) and LinearizationTable (output is already linearized).
  • PNG: RGB / RGBA / grayscale, alpha preserved untouched; 16-bit inputs are processed at 8-bit precision (with a notice).

SHA256

c6e6192f6f46837611f5c54221d2cef84261e853528ad658fb18eca235642b30  GALOSH_RAW_win64.zip
c91bcdc72d6d5b4db34d2c3ab3bb630316d7e0f83cefe04047c51783de482b6a  GALOSH_YUV_win64.zip

Links

GALOSH is Apache-2.0; bundled third-party components are listed in THIRD_PARTY_LICENSES.txt inside each ZIP.