水下透视投影图像非线性畸变校正方法*
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中图分类号: TH74TP39文献标识码: A国家标准学科分类代码: 5206040

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*基金项目:国家重点研发计划课题(2016YFC0302401)、国家自然科学基金(61673252,51575332)项目资助


Nonlinear distortion correction method for underwater perspective projection image
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    摘要:

    摘要:针对水下成像多界面折射引起的图像非线性畸变,提出一种水下透视投影图像校正方法,将相机透过多界面拍摄的水下图像转化为空气中相机拍摄目标的透视投影图像。首先,在多层平面折射模型下,以四维光场参数化的形式对水下相机成像过程建模,通过光场的方向信息计算出水中像点与校正像点间坐标的映射关系。然后,利用两者映射关系将水下相机获取的图像转化为空气中透视投影图像。经仿真优化,物距在2~4 m的透视投影图像平均误差在1 pixel以内。实验结果也验证了该方法的可靠性与准确性,当物距在2 m时,校正后的透视投影图像平均误差为056 pixel,行匹配平均误差为04 pixel。

    Abstract:

    Abstract:Aiming at the nonlinear distortion of the image caused by the multiinterface refraction of underwater imaging, this paper proposes a method for correcting underwater perspective projection images, which converts the underwater images taken by the camera through multiple interfaces into the perspective projection images of the camera in the air. First, under the multilayer plane refraction model, the imaging process of the underwater camera is modeled in the form of a fourdimensional light field parameterization, and the mapping relationship between the underwater image point and the corrected image point is calculated from the direction information of the light field. Then, using the mapping relationship between the two, the images acquired by the underwater camera are converted into perspective projection images in the air. After simulation and optimization, the average error of the perspective projection image with an object distance of 2 m to 4 m is within 1 pixel. The experimental results also show the reliability and accuracy of the method. When the object distance is 2 m, the average error of the corrected perspective projection image is 056 pixel, and the average error of row matching is 04 pixel.

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姚钦舟,庄苏锋,屠大维,张旭,谢亮亮.水下透视投影图像非线性畸变校正方法*[J].仪器仪表学报,2020,41(2):

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  • 在线发布日期: 2022-03-02
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