
High speed image space parallel processing for computer-generated integral imaging system
Author(s) -
KiChul Kwon,
Chan Park,
Munkh-Uchral Erdenebat,
Ji-Seong Jeong,
Jeong-Hun Choi,
Nam Kim,
JaeHyeung Park,
Young-Tae Lim,
KwanHee Yoo
Publication year - 2012
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.20.000732
Subject(s) - integral imaging , computer science , image processing , computer vision , volume (thermodynamics) , medical imaging , computer graphics (images) , optics , artificial intelligence , image (mathematics) , physics , quantum mechanics
In an integral imaging display, the computer-generated integral imaging method has been widely used to create the elemental images from a given three-dimensional object data. Long processing time, however, has been problematic especially when the three-dimensional object data set or the number of the elemental lenses are large. In this paper, we propose an image space parallel processing method, which is implemented by using Open Computer Language (OpenCL) for rapid generation of the elemental images sets from large three-dimensional volume data. Using the proposed technique, it is possible to realize a real-time interactive integral imaging display system for 3D volume data constructed from computational tomography (CT) or magnetic resonance imaging (MRI) data.