An Algorithm for Gaussian Texture Inpainting
Bruno Galerne, Arthur Leclaire
⚠ This is a preprint. It may change before it is accepted for publication.

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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