Total Variation Reconstruction From Quasi-Random Samples

Onderzoeksoutput: Conference paper

37 Downloads (Pure)

Samenvatting

Pseudo-random numbers are often used for generating incoherent uniformly distributed sample distributions. However randomness is a sufficient -- not necessary -- condition to ensure incoherence. If one wants to reconstruct an image from few samples, choosing a globally optimized set of evenly distributed points could capture the visual content more efficiently. This work compares classical random sampling with a simple construction based on properties of the fractional Golden ratio sequence and the Hilbert space filling curve. Images are then reconstructed using a total variation prior. Results show improvements in terms of peak signal to noise ratio over pseudo-random sampling.
Originele taal-2English
TiteliTWIST'14, international - Traveling Workshop on Interactions between Sparse models and Technology
RedacteurenLaurent Jacques
Pagina's57-58
StatusPublished - 2014
EvenementiTWIST'14 international Traveling Workshop on Interactions between Sparse models and Technology - Namur, Belgium
Duur: 27 aug 201429 aug 2014

Conference

ConferenceiTWIST'14 international Traveling Workshop on Interactions between Sparse models and Technology
Land/RegioBelgium
StadNamur
Periode27/08/1429/08/14

Bibliografische nota

Laurent Jacques

Vingerafdruk

Duik in de onderzoeksthema's van 'Total Variation Reconstruction From Quasi-Random Samples'. Samen vormen ze een unieke vingerafdruk.

Citeer dit