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: 3.3.5        Current pre-release: 3.3.6 (2024/03/28)

Reference

Table of Contents  ▸  List of Commands  ▸  Filtering  ▸  inpaint◀  inn    |    inpaint_pde  ▶

inpaint

Built-in command

Arguments:

Description:

Inpaint selected images by specified mask.

If no patch size (or 0) is specified, inpainting is done using a fast average or median algorithm.
Otherwise, it used a patch-based reconstruction method, that can be very time consuming.
fast_method can be { 0:low-connectivity average | 1:high-connectivity average | 2:low-connectivity median | 3:high-connectivity median }.

Default values:

patch_size=0, fast_method=1, lookup_size=22, lookup_factor=0.5, lookup_increment=1, blend_size=0, blend_threshold=0, blend_decay=0.05, blend_scales=10 and is_blend_outer=1.

Examples of use:

• Example #1

image.jpg 100%,100% ellipse 50%,50%,30,30,0,1,255 ellipse 20%,20%,30,10,0,1,255 +inpaint[-2] [-1] remove[-2]

Command: image.jpg 100%,100% ellipse 50%,50%,30,30,0,1,255 ellipse 20%,20%,30,10,0,1,255 +inpaint[-2] [-1] remove[-2]
Command: image.jpg 100%,100% ellipse 50%,50%,30,30,0,1,255 ellipse 20%,20%,30,10,0,1,255 +inpaint[-2] [-1] remove[-2]

• Example #2

image.jpg 100%,100% circle 30%,30%,30,1,255,0,255 circle 70%,70%,50,1,255,0,255 +inpaint[0] [1],5,15,0.5,1,9,0 remove[1]

Command: image.jpg 100%,100% circle 30%,30%,30,1,255,0,255 circle 70%,70%,50,1,255,0,255 +inpaint[0] [1],5,15,0.5,1,9,0 remove[1]
Command: image.jpg 100%,100% circle 30%,30%,30,1,255,0,255 circle 70%,70%,50,1,255,0,255 +inpaint[0] [1],5,15,0.5,1,9,0 remove[1]
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.