G'MIC - GREYC's Magic for Image Computing: A Full-Featured Open-Source Framework for Image Processing
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A Full-Featured Open-Source Framework for Image Processing



Latest stable version: 3.6.2        Current pre-release: 3.6.3 (2025/10/08)

Reference
Table of Contents  ▸  List of Commands  ▸  Filtering  ▸  denoise_cnn◀  denoise_haar    |    denoise_patchpca  ▶

denoise_cnn

Arguments:

  • _noise_level>=0,_patch_size>0

Description:

Denoise selected images using a convolutional neural network (CNN).

Input value range should be [0,255]. Output value range is [0,255].
If std_noise==0, the noise level is automatically estimated for each selected image.

Default values:

noise_level=0 (auto) and patch_size=64.

Example of use:

<a href="image.jpg" class="highslide" onclick="return hs.expand(this)">image.jpg</a> noise 20 cut 0,255 +denoise_cnn 0

Command: <a href="image.jpg" class="highslide" onclick="return hs.expand(this)">image.jpg</a> noise 20 cut 0,255 +denoise_cnn 0
Command: <a href="image.jpg" class="highslide" onclick="return hs.expand(this)">image.jpg</a> noise 20 cut 0,255 +denoise_cnn 0
G'MIC - GREYC's Magic for Image Computing: A Full-Featured Open-Source Framework for Image Processing

G'MIC is an open-source software distributed under the CeCILL free software licenses (LGPL-like and/or
GPL-compatible). Copyrights (C) Since July 2008, David Tschumperlé - GREYC UMR CNRS 6072, Image Team.