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Optical Engineering

Method based on bioinspired sample improves autofocusing performances
Author(s): Jie Cao; Yang Cheng; Peng Wang; Yuxin Peng; Kaiyu Zhang; Leina Wu; Wenze Xia; Haoyong Yu
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Paper Abstract

In order to solve the issue between fast autofocusing speed and high volume data processing, we propose a bioinspired sampling method based on a retina-like structure. We develop retina-like models and analyze the division of sampling structure. The optimal retina-like sample is obtained by analyzing two key parameters (sectors and radius of blind area) of the retina-like structure through experiments. Under the typical autofocus functions, including Vollath–4, Laplacian, Tenengrad, spatial frequency, and sum-modified-Laplacian (SML), we carry out comparative experiments of computation time based on the retina-like sample and a traditional uniform sample. The results show that the retina-like sample is suitable for those autofocus functions. Based on the autofocus function of SML, the average time of uniform sample decreases from 3.5 to 2.1 s for the retina-like sample.

Paper Details

Date Published: 7 October 2016
PDF: 11 pages
Opt. Eng. 55(10) 103103 doi: 10.1117/1.OE.55.10.103103
Published in: Optical Engineering Volume 55, Issue 10
Show Author Affiliations
Jie Cao, National Univ. of Singapore (Singapore)
Beijing Institute of Technology (China)
Yang Cheng, National Univ. of Singapore (Singapore)
Beijing Institute of Technology (China)
Peng Wang, Beijing Institute of Technology (China)
Beijing Aerospace Measurement and Control Technology Co., Ltd. (China)
Yuxin Peng, National Univ. of Singapore (Singapore)
Zhejiang Univ. (China)
Kaiyu Zhang, Beijing Institute of Technology (China)
Leina Wu, Xuzhou Institute of Technology (China)
Wenze Xia, National Univ. of Singapore (Singapore)
Beijing Institute of Technology (China)
Haoyong Yu, National Univ. of Singapore (Singapore)


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