Improving color correction for underwater image surveys

机译：改进水下图像调查的色彩校正

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摘要

We propose and implement a novel method of estimating attenuation coefficients and a strobe beam pattern using sequences of overlapping underwater color images and acoustic ranges from a Dopper Velocity Log (DVL). These values are used to correct the images for color and illumination artifacts with the goal of more consistent color correction for input into classification algorithms.

机译：我们提出并实现了一种新的方法，该方法使用重叠的水下彩色图像序列和来自多普勒速度测井（DVL）的声波范围来估算衰减系数和频闪波束图案。这些值用于校正颜色和照明伪影的图像，目的是提供更一致的颜色校正，以输入到分类算法中。

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《OCEANS 2011》|2011年|p.1-6|共6页
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Kaeli Jeffrey W.; Singh Hanumant; Murphy Chris; Kunz Clay;
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中图分类海洋工程;
关键词
color correction; multisensor fusion; underwater imaging;

机译：色彩校正;多传感器融合;水下成像;

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Improving color correction for underwater image surveys

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