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Proceedings Paper

Lightning detection and exposure algorithms for smartphones
Author(s): Haixin Wang; Xiaopeng Shao; Lin Wang; Laili Su; Yining Huang
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Paper Abstract

This study focuses on the key theory of lightning detection, exposure and the experiments. Firstly, the algorithm based on differential operation between two adjacent frames is selected to remove the lightning background information and extract lighting signal, and the threshold detection algorithm is applied to achieve the purpose of precise detection of lightning. Secondly, an algorithm is proposed to obtain scene exposure value, which can automatically detect external illumination status. Subsequently, a look-up table could be built on the basis of the relationships between the exposure value and average image brightness to achieve rapid automatic exposure. Finally, based on a USB 3.0 industrial camera including a CMOS imaging sensor, a set of hardware test platform is established and experiments are carried out on this platform to verify the performances of the proposed algorithms. The algorithms can effectively and fast capture clear lightning pictures such as special nighttime scenes, which will provide beneficial supporting to the smartphone industry, since the current exposure methods in smartphones often lost capture or induce overexposed or underexposed pictures.

Paper Details

Date Published: 21 May 2015
PDF: 8 pages
Proc. SPIE 9501, Satellite Data Compression, Communications, and Processing XI, 950116 (21 May 2015); doi: 10.1117/12.2176823
Show Author Affiliations
Haixin Wang, Xidian Univ. (China)
Xiaopeng Shao, Xidian Univ. (China)
Lin Wang, Xidian Univ. (China)
Laili Su, Xidian Univ. (China)
Yining Huang, Huawei Technologies Co., Ltd. (China)

Published in SPIE Proceedings Vol. 9501:
Satellite Data Compression, Communications, and Processing XI
Bormin Huang; Chein-I Chang; Chulhee Lee; Yunsong Li; Qian Du, Editor(s)

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