A model for estimating spectral properties of water from RGB images

机译：从RGB图像估计水的光谱特性的模型

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This paper presents an underwater image formation model incorporating scatter and spectral absorption curves of pure water and three other particle classes; phytoplankton, non-algal particles and colored dissolved organic matter. We also describe an algorithm allowing to derive these depth dependent curves from a sequence of RGB images of a known target. Underwater images generated using the model closely resemble the experimental ones acquired in a variety of conditions. Similarly, the estimated absorption curves, and relative particle concentrations agree with common sense expectations.

机译：本文提出了一个水下图像形成模型，该模型结合了纯水和其他三个粒子类别的散射和光谱吸收曲线;浮游植物，非藻类颗粒和有色溶解有机物。我们还描述了一种算法，该算法允许从已知目标的RGB图像序列中得出这些与深度有关的曲线。使用该模型生成的水下图像与在各种条件下获得的实验图像非常相似。同样，估计的吸收曲线和相对颗粒浓度符合常识预期。

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《IEEE International Conference on Image Processing》|2014年|610-614|共5页
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Blasinski H.; Breneman J.; Farrell J.;
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geophysical image processing; image colour analysis; image sensors; image sequences; RGB images; absorption curves estimation; colored dissolved organic matter; nonalgal particles; phytoplankton; relative particle concentrations; scatter and spectral absorption curves; spectral properties estimation; underwater image formation model; Absorption; Atmospheric modeling; Cameras; Image color analysis; Mathematical model; Optimized production technology; Water; Absorption spectrum; colored dissolved organic matter; image formation models; non-algal particles; phytoplankton; scatter; underwater imaging;

机译：地球物理图像处理;图像颜色分析;图像传感器;图像序列; RGB图像;吸收曲线估计;有色溶解有机物;非藻类颗粒;浮游植物;相对颗粒浓度;散射和光谱吸收曲线;光谱性质估计;水下图像形成模型;吸收;大气建模;相机;图像颜色分析;数学模型;优化生产工艺;水;吸收光谱;有色溶解有机物;成像模型;非藻类颗粒;浮游植物;散射;水下成像;

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A model for estimating spectral properties of water from RGB images

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