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

A Full-Featured Open-Source Framework for Image Processing



Latest stable version: 3.1.5

Reference

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

denoise_cnn

Arguments:

Description:

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

Input value range should be [0,255]. Output value range is [0,255].

Default values:

patch_size=64.

Example of use:

$ gmic image.jpg noise 20 cut 0,255 +denoise_cnn

Command: image.jpg noise 20 cut 0,255 +denoise_cnn
Command: image.jpg noise 20 cut 0,255 +denoise_cnn
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.