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Proceedings Paper

Computational reconstruction technique in integral imaging with enhanced visual quality
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Paper Abstract

In this paper, we propose a visual quality enhancement of 3D reconstruction algorithm in integral imaging. Conventional integral imaging has a critical problem that attenuates the visual quality of 3D objects when low-resolution elemental images are used. Although, PERT is one of the solutions, the size of 3D scenes is different from optical reconstruction since it is not considering space between back-projected pixels on reconstruction planes. Therefore, we consider this space and use convolution operator. Especially, convolution operator can be designed by considering aperture shapes. To support our proposed method, we carry out optical experiment and computer simulations.

Paper Details

Date Published: 16 May 2018
PDF: 8 pages
Proc. SPIE 10666, Three-Dimensional Imaging, Visualization, and Display 2018, 106660A (16 May 2018); doi: 10.1117/12.2305267
Show Author Affiliations
Kotaro Inoue, Hankyong National Univ. (Korea, Republic of)
Byeongwoo Cho, Hankyong National Univ. (Korea, Republic of)
Hui Yun, Hankyong National Univ. (Korea, Republic of)
Myungjin Cho, Hankyong National Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 10666:
Three-Dimensional Imaging, Visualization, and Display 2018
Bahram Javidi; Jung-Young Son; Osamu Matoba, Editor(s)

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