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水下距离选通成像的距离-强度剖面先验去雾方法

Range-intensity-profile prior dehazing method for underwater range-gated imaging.

作者信息

Wang Minmin, Wang Xinwei, Zhang Yue, Sun Liang, Lei Pingshun, Yang Yuqing, Chen Jianan, He Jun, Zhou Yan

出版信息

Opt Express. 2021 Mar 1;29(5):7630-7640. doi: 10.1364/OE.417131.

DOI:10.1364/OE.417131
PMID:33726260
Abstract

This paper is concerned with the mitigation of backscatter effects in a single gated image. A range-intensity-profile prior dehazing method is proposed to estimate scene depth and finely remove water backscatter at different depths for underwater range-gated imaging. It is based on the prior that the target intensity is distributed with range intensity profiles in gated images. The depth transmission and depth-noise map are then calculated from the scene depth. A high-quality image is restored by subtracting the depth-noise map and dividing the depth transmission. The simulation and experimental results show that the proposed method works well even if a portion of the estimated depth may be smaller than its real value, and the peak signal-to-noise ratio of dehazing images gets up to a doubled increase.

摘要

本文关注单门控图像中后向散射效应的减轻。提出了一种基于距离-强度剖面的去雾方法,用于估计场景深度并精细去除水下距离选通成像中不同深度处的水体后向散射。该方法基于目标强度在门控图像中按距离强度剖面分布的先验知识。然后根据场景深度计算深度传输和深度噪声图。通过减去深度噪声图并除以深度传输来恢复高质量图像。仿真和实验结果表明,即使估计深度的一部分可能小于其真实值,该方法也能很好地工作,并且去雾图像的峰值信噪比提高了一倍。

相似文献

1
Range-intensity-profile prior dehazing method for underwater range-gated imaging.水下距离选通成像的距离-强度剖面先验去雾方法
Opt Express. 2021 Mar 1;29(5):7630-7640. doi: 10.1364/OE.417131.
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Underwater 3D deblurring-gated range-intensity correlation imaging.水下3D去模糊选通距离-强度相关成像
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Opt Express. 2021 Mar 15;29(6):9385-9395. doi: 10.1364/OE.420359.
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Recovering Depth from Still Images for Underwater Dehazing Using Deep Learning.基于深度学习的水下去雾单幅图像景深恢复。
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