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

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 ▸ blur

◀ bilateral | blur_angular ▶

blur	Built-in command

Arguments:

std_deviation[%]>=0,_boundary_conditions,_kernel or
axes,std_deviation[%]>=0,_boundary_conditions,_kernel

Description:

Blur selected images by a Deriche or gaussian filter (recursive implementation).

(equivalent to shortcut command b).

boundary_conditions can be { 0:Dirichlet | 1:Neumann | 2:Periodic | 3:Mirror }.
kernel can be { 0:Deriche | 1:Gaussian }.
When specified, argument axes is a sequence of { x | y | z | c }.
Specifying one axis multiple times apply also the blur multiple times.

Default values:

boundary_conditions=1 and kernel=1.

This command has a tutorial page.

Examples of use:

• Example #1

<a href="image.jpg" class="highslide" onclick="return hs.expand(this)">image.jpg</a> +blur 5,0 +blur[0] 5,1

Command: <a href="image.jpg" class="highslide" onclick="return hs.expand(this)">image.jpg</a> +blur 5,0 +blur[0] 5,1

Command: <a href="image.jpg" class="highslide" onclick="return hs.expand(this)">image.jpg</a> +blur 5,0 +blur[0] 5,1

Command: <a href="image.jpg" class="highslide" onclick="return hs.expand(this)">image.jpg</a> +blur 5,0 +blur[0] 5,1

• Example #2

<a href="image.jpg" class="highslide" onclick="return hs.expand(this)">image.jpg</a> +blur y,10%

Command: <a href="image.jpg" class="highslide" onclick="return hs.expand(this)">image.jpg</a> +blur y,10%

Command: <a href="image.jpg" class="highslide" onclick="return hs.expand(this)">image.jpg</a> +blur y,10%

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.