Self-tuning of a sunlight-deflickering filter for moving scenes underwater

Self-tuning of a sunlight-deflickering filter for moving scenes underwater
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用于水下移动场景的阳光去闪烁滤镜的自调节

DOI:
10.1109/rpic.2015.7497107
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发表时间:
2015
期刊:
2015 XVI Workshop on Information Processing and Control (RPIC)
影响因子:
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通讯作者:
M. Jordan
M. Jordan
中科院分区:
--
文献类型:
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作者:
Emanuel Trabes;M. Jordan

文献摘要

被引文献

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这项工作涉及设计一种实时方法,用于在水下受阳光波扰动的移动景观场景的视频去闪烁过程中自动调整参数。调谐器在基本滤波器内执行连续参数优化,该滤波器利用反馈来提高性能。它还能够适应场景条件的最终变化。此外,参数灵敏度和环路稳定性等问题也得到了同等解决。我们通过使用水下场景的真实电影材料进行的案例研究来说明结果。该方法的灵感来自于水下单摄像头视觉车辆的 SLAM 应用以及 FPGA 结构中的简单硬件实现。
This work deals with the design of a real-time approach for automatic parameter tuning in a deflickering process of videos of a moving landscape scene underwater perturbed with sunlight waves. The tuner performs a continuous parameter optimization inside a basic filter, which employes feedback in order to improve the performance. Also it is able to adapt the optimum to eventual changing of the scenario conditions. Moreover, issues like the parameter sensitivity and loop stability are addressed equally. The results have been illustrated by means of a worked-out case-study employing real film material of a scenario underwater. The approach was motivated by the SLAM applications with monocamera vision-based vehicles underwater and simple hardware implementations in FPGA structures.