Field of Particle Filters Image Inpainting
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Field of Particle Filters Image Inpainting. / Cuzol, Anne; Pedersen, Kim Steenstrup; Nielsen, Mads.
I: Journal of Mathematical Imaging and Vision, Bind 31, Nr. 2-3, 2008, s. 147-156.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Field of Particle Filters Image Inpainting
AU - Cuzol, Anne
AU - Pedersen, Kim Steenstrup
AU - Nielsen, Mads
PY - 2008
Y1 - 2008
N2 - 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
AB - 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
KW - Faculty of Science
KW - Inpainting
KW - Image completion
KW - Hole filling
KW - Particle filter
KW - Markov random field
U2 - 10.1007/s10851-008-0072-7
DO - 10.1007/s10851-008-0072-7
M3 - Journal article
VL - 31
SP - 147
EP - 156
JO - Journal of Mathematical Imaging and Vision
JF - Journal of Mathematical Imaging and Vision
SN - 0924-9907
IS - 2-3
ER -
ID: 6746213