Optimized sampling for view interpolation in light fields using local dictionaries

D.C. Schedl, C. Birklbauer, Oliver Bimber

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

10 Zitate (Scopus)

Abstract

We present an angular superresolution method for light fields captured with a sparse camera array. Our method uses local dictionaries extracted from a sampling mask for upsampling a sparse light field to a dense light field by applying compressed sensing reconstruction. We derive optimal sampling masks by minimizing the coherence for representative global dictionaries. The desired output perspectives and the number of available cameras can be arbitrarily specified. We show that our method yields qualitative improvements compared to previous techniques.

OriginalspracheEnglisch
Seiten (von - bis)93-103
Seitenumfang11
FachzeitschriftComputer Vision and Image Understanding
Jahrgang168
DOIs
PublikationsstatusVeröffentlicht - März 2018
Extern publiziertJa

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