@article{da9c0030a01f11dd86a6000ea68e967b,
title = "Field of Particle Filters Image Inpainting",
abstract = "We present a novel algorithm for solving the imageinpainting problem based on a field of locally interactingparticle filters. Image inpainting, also known as imagecompletion, is concerned with the problem of filling imageregions with new visually plausible data. In order to avoidthe difficulty of solving the problem globally for the regionto be inpainted, we introduce a field of local particlefilters. The states of the particle filters are image patches.Global consistency is enforced by a Markov random fieldimage model which connects neighbouring particle filters.The benefit of using locally interacting particle filters is thatseveral competing hypotheses on inpainting solutions arekept active, allowing the method to provide globally consistentsolutions on problems where other local methods mayfail. We provide examples of applications of the developedmethod.Keywords: Inpainting · Image completion · Hole filling ·Particle filter · Markov random field",
keywords = "Faculty of Science, Inpainting, Image completion, Hole filling, Particle filter, Markov random field",
author = "Anne Cuzol and Pedersen, {Kim Steenstrup} and Mads Nielsen",
year = "2008",
doi = "10.1007/s10851-008-0072-7",
language = "English",
volume = "31",
pages = "147--156",
journal = "Journal of Mathematical Imaging and Vision",
issn = "0924-9907",
publisher = "Springer",
number = "2-3",
}