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Proceedings Paper

Synthetic aperture remove occlusion algorithm based on microlens array light field imaging
Author(s): Wentong Qian; Hui Li; Yuntao Wu
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Paper Abstract

A synthetic aperture de-occlusion algorithm based on the microlens array (MLA) is proposed. This kind of light field camera could obtain the original image data. This paper utilized the fusion synthetic aperture technique to identify occlusion foreground information. Moreover, OTSU was used to distinguish the pixel value range of the occlusion and the target object. The obscured object data can be identified. The image obtained by removing the occlusion information was refocused. The light field camera was utilized to extract the target image. Experiments show that the target image of this proposed algorithm is much better compared with other algorithms. The proposed algorithm in this paper also presents 3D scene images with high contrast and SNR. The evaluation value of unreferenced images is also increased by 20.03% on average.

Paper Details

Date Published: 14 February 2020
PDF: 5 pages
Proc. SPIE 11431, MIPPR 2019: Parallel Processing of Images and Optimization Techniques; and Medical Imaging, 1143105 (14 February 2020); doi: 10.1117/12.2538182
Show Author Affiliations
Wentong Qian, Wuhan Institute of Technology (China)
Hubei Key Lab. of Intelligent Robot (China)
Hui Li, Wuhan Institute of Technology (China)
Hubei Key Lab. of Intelligent Robot (China)
Huazhong Univ. of Science and Technology (China)
Yuntao Wu, Wuhan Institute of Technology (China)
Hubei Key Lab. of Intelligent Robot (China)


Published in SPIE Proceedings Vol. 11431:
MIPPR 2019: Parallel Processing of Images and Optimization Techniques; and Medical Imaging
Hong Sun; Bruce Hirsch; Chao Cai, Editor(s)

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