Seeing through Wavy Water–Air Interface: A Restoration Model for Instantaneous Images Distorted by Surface Waves

Bijian Jian, Chunbo Ma, Dejian Zhu, Yixiao Sun and Jun Ao
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Bijian Jian: School of Information and Communication, Guilin University of Electronic Technology, Guilin 541000, China
Chunbo Ma: School of Information and Communication, Guilin University of Electronic Technology, Guilin 541000, China
Dejian Zhu: School of Information and Communication, Guilin University of Electronic Technology, Guilin 541000, China
Yixiao Sun: School of Information and Communication, Guilin University of Electronic Technology, Guilin 541000, China
Jun Ao: School of Information and Communication, Guilin University of Electronic Technology, Guilin 541000, China

Future Internet, 2022, vol. 14, issue 8, 1-21

Abstract: Imaging through a wavy water–air interface is challenging since light rays are bent by unknown amounts, leading to complex geometric distortions. Considering the restoration of instantaneous distorted images, this paper proposes an image recovery model via structured light projection. The algorithm is composed of two separate parts. In the first part, an algorithm for the determination of the instantaneous shape of the water surface via structured light projection is developed. Then, we synchronously recover the distorted airborne scene image through reverse ray tracing in the second part. The experimental results show that, compared with the state-of-the-art methods, the proposed method not only can overcome the influence of changes in natural illumination conditions for WAI reconstruction, but also can significantly reduce the distortion and achieve better performance.

Keywords: image restoration; structured light; water–air imaging; reverse ray tracing (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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