基于结构光的水下对空成像图像恢复  

Underwater-to-Air Imaging Image Recovery Based on Structural Light

作　　者：马春波[1] 秦芳利 简必建 敖珺[1] MA Chun-bo;QIN Fang-li;JIAN Bi-jian;AO Jun(School of Information and Communications,Guilin University of Electronic Science and Technology,Guilin Guangxi 541004,China)

机构地区：[1]桂林电子科技大学信息与通信学院,广西桂林541004

出　　处：《计算机仿真》2022年第7期224-227,共4页Computer Simulation

基　　金：广西自然科学基金(2018GXNSFAA294056)。

摘　　要：水的无规则波动和折射会导致经过水-空气界面的图像产生扭曲和变形,从而不可辨认。水下对空成像图像恢复的工作就是在不暴露己身的情况下,不间断地观察水面上或者空中的对象。提出了一种基于结构光的主被动相结合的水下对空成像图像处理方法,将标准的结构光图像作为参考图像,将扭曲的图像向参考图像配准,从而恢复扭曲的图像。实验结果表明,与传统迭代算法相比,上述算法能够在保证恢复图像质量的情况下,大幅缩短处理时间。Irregular waves and refraction of water will cause distortion and deformation of the image passing through the water-air interface,making it unrecognizable.The work of underwater-to-air imaging image restoration is to continuously observe objects on the water or in the air without exposing themselves.This paper proposes an image processing method for underwater-to-air imaging based on the combination of active and passive structured light.The standard structured light image is used as a reference image,and the distorted image is registered to the reference image to restore the distorted image.The experimental results show that compared with the traditional iterative algorithm,the algorithm can greatly shorten the processing time while ensuring the quality of the restored image.

关 键 词：水下对空成像 图像恢复 结构光 图像配准 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]