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Proceedings Paper

Depth estimation of computational reconstruction in integral imaging by considering the pixel blink rate
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Paper Abstract

In this paper, we propose a new high-resolution depth estimation algorithm in integral imaging which can obtain threedimensional (3D) images by using lenslet array. In conventional studies, a stereo-matching is used for depth estimation. However, it is not the best solution for integral imaging since the 3D images are usually low-resolution images. Therefore, we propose a pixel blink rate based algorithm using pixel of the elemental images rearrangement technique (PERT) in integral imaging. Through our optical experiment, the depth resolution by our technique is dramatically improved compared with a conventional method.

Paper Details

Date Published: 16 May 2018
PDF: 10 pages
Proc. SPIE 10666, Three-Dimensional Imaging, Visualization, and Display 2018, 1066614 (16 May 2018); doi: 10.1117/12.2305263
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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