Open AccessCalibration and Target Signal-to-Noise Ratio Enhancement Method of Infrared Camera Array Based on Refocus
Author(s) -
Xiaokai Xie,
Jungang Yang,
Chao Xiao,
Tianhao Wu,
Ting Liu,
Wei An
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2187/1/012063
Subject(s) - calibration , infrared , distortion (music) , computer science , camera resectioning , artificial intelligence , computer vision , camera auto calibration , noise (video) , lens (geology) , signal (programming language) , image sensor , signal to noise ratio (imaging) , optics , physics , image (mathematics) , telecommunications , quantum mechanics , programming language , amplifier , bandwidth (computing)
The accuracy of infrared (IR) camera calibration directly affects the quality of IR imaging results. Many imaging devices have been utilized in infrared dim and small target detection, which is a major research direction in infrared field. Comparing with single-lens cameras, IR camera array can improve the detection capability by adding more imaging units, and is expected to break the limitations of traditional single-lens imaging system in cost, volume and performance. The calibration methods for camera array nowadays are generally applied in visible spectrum instead of IR band. In this paper, we proposed a calibration method based on refocus for IR camera array. Furthermore, the target signal-to-noise ratio enhancement method become effective after calibration of IR camera array. As the camera parameters obtained can be used to correct image distortion and improve the quality of imaging, the calibrating process can support many subsequent tasks such as target detection. Experiments indicate that our method achieves the expected effect.