IPOL Journal · Image Processing On Line
- published
- 2017-10-09
- reference
- Bruno Galerne, and Arthur Leclaire, An Algorithm for Gaussian Texture Inpainting, Image Processing On Line, 7 (2017), pp. 262–277. https://doi.org/10.5201/ipol.2017.198
Communicated by José Lezama
Demo edited by Arthur Leclaire
This IPOL article is related to a companion publication in the SIAM
Journal on Imaging Sciences:
B. Galerne, A. Leclaire, “Texture Inpainting Using Efficient Gaus-
sian Conditional Simulation”,
SIAM Journal on Imaging Sciences 10(3):1446-1474, 2017.
http://dx.doi.org/10.1137/16M1109047
Abstract
Inpainting consists in computing a plausible completion of missing parts of an image given the available content. In the case of images composed of a homogeneous microtexture, inpainting can be addressed by relying on Gaussian conditional simulation. In this paper we describe an algorithm which allows to perform inpainting by Gaussian conditional simulation, in a scalable way. We provide a detailed numerical study of this algorithm.
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- full text manuscript: PDF low-res. (1.8M) PDF (38.7M) [?]
- source code: ZIP
Non-Reviewed Supplementary Materials
These files and information are provided by the authors and have not been reviewed.
- Matlab code: ZIP
History
- Note from the editor: The source code was updated on August 19, 2019 to fix a compilation error. The only change has been to remove the word "inline" at line 59 of gti.c. The original source code can be found here.
- Note from the editor: the manuscript of the article was modified on 2022-01-01 to include information about its editors. The original version of the manuscript is available here.
