Digital imaging array technology and processing power are continuously improving and have reached a state where 4-dimensional (i.e. time-resolved 3C- 3D) digital holographic PIV/PTV (4D-DHPIV/PTV) methods can be considered for macro fluid mechanics and turbulence investigations. This paper presents an in-line 4D-DHPIV/PTV methodology, which in addition to including the standard digital hologram reconstruction, incorporates advanced digital ltering to remove the virtual image effect, 3-dimensional volume deconvolution to reduce the depth-of-focus problem and the virtual image, followed by an efficient one-pass 3-dimensional clustering algorithm coupled with a predictive inverse reconstruction approach to increase the particle reconstruction dynamic range and 3-dimensional reconstruction domain, which is accelerated using particle position prediction. In addition to the presentation of the details of this novel 4D-DHPIV/PTV method, performance results pertaining to bias particle position error and the uncertainty associated with the particle position are presented as a function of: (i) particle concentration and (ii) the shot noise present in the digitally recorded hologram. An experiment to measure laminar micro-channel flow has been performed to demonstrate the 4D-DHPIV/PTV methodology.

中文翻译：

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一种使用迭代预测逆重建的新型 4D 数字全息 PIV/PTV (4D-DHPIV/PTV) 方法

数字成像阵列技术和处理能力不断提高，已经达到可以考虑4维（即时间分辨3C-3D）数字全息PIV/PTV（4D-DHPIV/PTV）方法进行宏观流体力学和湍流的状态调查。本文提出了一种在线 4D-DHPIV/PTV 方法，它除了包括标准的数字全息图重建之外，还结合了先进的数字过滤来消除虚拟图像效应，3 维体积去卷积以减少焦深问题和虚拟图像，然后是高效的单遍3维聚类算法，再加上预测逆重建方法，以增加粒子重建动态范围和3维重建域，这是使用粒子位置预测加速的。除了介绍这种新型 4D-DHPIV/PTV 方法的细节外，还介绍了与偏置粒子位置误差和与粒子位置相关的不确定性相关的性能结果：(i) 粒子浓度和 (ii)数字记录全息图中存在的散粒噪声。进行了测量层流微通道流量的实验，以演示 4D-DHPIV/PTV 方法。