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Underwater image quality degradation by scattering

机译:水下图像质量通过散射劣化

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摘要

Image quality assessment is a challenging task. Numerous metrics and algorithms have been developed, with a fair share of these efforts focused on referenced targets. For applications associated with most civilian and military needs in the field of intelligence, surveillance, reconnaissance such that automatic target recognition is required, an objective, no reference metric is needed. The task becomes even more challenging when the signals obtained from the imaging sensor are time-varying, including those introduced by the turbulence induced index of refraction fluctuations along the imaging path. This study is aimed to develop an objective metric, tuned to be used for underwater imaging applications where the scattering degradations from particulates, as well as optical turbulence are present. Following recent research outcome, that spatial coherence length is a direct proxy to optical turbulence strength, we developed a metric based on this principle, while including the static scattering contributions with previous developed underwater image quality metric. The results show very good agreement with referenced metric such as the structure similarity image metric, as well as visual, subjective validation, using images obtained from both lab and field experiments.
机译:图像质量评估是一个具有挑战性的任务。已经开发了许多指标和算法,这些努力的公平份额专注于引用的目标。对于与智能领域的大多数民用和军事需求相关的申请,需要进行自动目标识别的侦察,这是一个目标,不需要参考度量。当从成像传感器获得的信号是时变的信号时,任务变得更具挑战,包括由沿着成像路径沿着成像路径的折射率波动的折射率引入的那些。本研究旨在开发客观的公制,调谐为用于水下成像应用,其中存在来自颗粒的散射降低以及光学湍流。在最近的研究结果之后,空间相干长度是光学湍流强度的直接代理,我们基于该原理开发了一个度量,而包括先前开发的水下图像质量度量的静态散射贡献。结果表明,使用从两个实验室和现场实验中获得的图像,与参考度量相似,如结构相似性图像度量,以及视觉主观验证,以及视觉主观验证。

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