par Schretter, Colas 
;Loris, Ignace ;Dooms, Ann;Schelkens, P.
Référence International travelling workshop on interactions between sparse models and technology (27-08-2014: Namur, Belgium)
Publication Non publié, 2014-08-27
;Loris, Ignace ;Dooms, Ann;Schelkens, P.Référence International travelling workshop on interactions between sparse models and technology (27-08-2014: Namur, Belgium)
Publication Non publié, 2014-08-27
Poster de conférence
| Résumé : | 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. |
