Paper
14 February 2020 Synthetic aperture remove occlusion algorithm based on microlens array light field imaging
Author Affiliations +
Proceedings Volume 11431, MIPPR 2019: Parallel Processing of Images and Optimization Techniques; and Medical Imaging; 1143105 (2020) https://doi.org/10.1117/12.2538182
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China
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.
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Wentong Qian, Hui Li, and Yuntao Wu "Synthetic aperture remove occlusion algorithm based on microlens array light field imaging", Proc. SPIE 11431, MIPPR 2019: Parallel Processing of Images and Optimization Techniques; and Medical Imaging, 1143105 (14 February 2020); https://doi.org/10.1117/12.2538182
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KEYWORDS
Detection and tracking algorithms

Image fusion

Image segmentation

Image processing algorithms and systems

Image processing

Reconstruction algorithms

3D acquisition

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