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

Reference

Table of Contents ▸ List of Commands ▸ Filtering ▸ denoise_haar

◀ denoise | denoise_cnn ▶

denoise_haar

Arguments:

_threshold>=0,_nb_scales>=0,_cycle_spinning>0

Description:

Denoise selected images using haar-wavelet thresholding with cycle spinning.

Set nb_scales==0 to automatically determine the optimal number of scales.

Default values:

threshold=1.4, nb_scale=0 and cycle_spinning=10.

Example of use:

<a href="image.jpg" class="highslide" onclick="return hs.expand(this)">image.jpg</a> noise 20 cut 0,255 +denoise_haar[-1] 0.8

Command: <a href="image.jpg" class="highslide" onclick="return hs.expand(this)">image.jpg</a> noise 20 cut 0,255 +denoise_haar[-1] 0.8

Command: <a href="image.jpg" class="highslide" onclick="return hs.expand(this)">image.jpg</a> noise 20 cut 0,255 +denoise_haar[-1] 0.8

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.