High speed image space parallel processing for computer-generated integral imaging system
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.
Conclusions
An OpenCL based GPU parallel processing method was proposed. While the CPU based previous methods require long processing time which increases linearly with the number of the elemental images, the parallel processing scheme of the proposed GPU based method reduces the processing time significantly. By using the proposed method, 24.39 fps (0.041 sec) was achieved in generating elemental images for 512 × 512 × 512 size 3D volume data when the number of the elemental lenses is 200 × 200 and each elemental image has 3 × 3 pixels. With the proposed method, it is possible to implement real-time user-interactively integral imaging 3D display system.
Ki-Chul Kwon, Chan Park, Munkh-Uchral Erdenebat, Ji-Seong Jeong, Jeong-Hun Choi, Nam Kim, Jae-Hyeung Park, Young-Tae Lim and Kwan-Hee Yoo. High speed image space parallel processing for computer-generated integral imaging system. Optics Express, Vol. 20, Issue 2, pp. 732-740, 2012. [doi: 10.1364/OE.20.000732] [Free PDF]
Category: Articles, Computer Science, Health
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