首页> 外文会议>IEEE International Conference on Acoustics, Speech and Signal Processing >DE-NOISING OF DISTANCE MAPS SENSED BY TIME-OF-FLIGHT DEVICES IN POOR SENSING ENVIRONMENT
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DE-NOISING OF DISTANCE MAPS SENSED BY TIME-OF-FLIGHT DEVICES IN POOR SENSING ENVIRONMENT

机译:在差的传感环境中被飞行时间装置感测的距离图的去噪

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We propose a non-local de-noising approach aimed at filtering range data sensed by Photonic Mixer Device sensors. We address specifically the case of poor sensing environment when the reflected signal amplitude is low. In our approach, signal components of phase-delay and amplitude of the sensed signal are regarded as components of a complex-valued variable and processed together in a single step. This imposes better filter adaptivity and similarity weighting. The complex-domain filtering provides additional feedback in the form of improved noise-level confidence, which can be utilized in iterative de-noising schemes. Pre-filtering of individual components is proposed to suppress structural artifacts. Our approach compares favorably with state of the art approaches.
机译:我们提出了一种非局部去噪方法,旨在过滤由光子混合器装置传感器感测的范围数据。当反射信号幅度低时,我们具体地解决了感测环境差的情况。在我们的方法中,感测信号的相位延迟和幅度的信号分量被视为复值变量的组件,并在单个步骤中一起处理。这赋予更好的过滤器适应性和相似性加权。复杂域滤波以改善的噪声水平置信度的形式提供额外的反馈,其可以用于迭代去噪方案。提出了各个组分的预过滤以抑制结构伪影。我们的方法与最先进的方法有利地比较。

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