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首页> 外文期刊>Nature reviews Cancer >Compact Real-Time Inter-Frame Histogram Builder for 15-Bits High-Speed ToF-Imagers Based on Single-Photon Detection
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Compact Real-Time Inter-Frame Histogram Builder for 15-Bits High-Speed ToF-Imagers Based on Single-Photon Detection

机译:基于单光子检测的15位高速TOF成像器紧凑的实时帧间帧规构建器

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Time-of-flight (ToF) image sensors based on single-photon detection, i.e., SPADs, require some filtering of pixel readings. Accurate depth measurements are only possible if the jitter of the detector is mitigated. Moreover, the time stamp needs to be effectively separated from uncorrelated noise, such as dark counts and background illumination. A powerful tool for this is building a histogram of a number of pixel readings. Future generation of ToF imagers are seeking to increase spatial and temporal resolution along with the dynamic range and frame rate. Under these circumstances, storing the complete histogram for every pixel becomes practically impossible. Considering that most of the information contained by the histogram represents noise, we propose a highly efficient method to store just the relevant data required for the ToF computation. This method makes use of the shifted inter-frame histogram. It requires a memory as low as 128 times smaller than storing the complete histogram if the pixel values are coded on up to 15 bits. Moreover, a fixed 2(8) words memory is enough to process histograms containing up to 2(15) bins. In exchange, the overall frame rate only decreases to one half. The hardware implementation of this algorithm is presented. Its remarkable robustness for a low SNR of the ToF estimation is demonstrated by Matlab simulations and FPGA implementation using input data from a SPAD camera prototype.
机译:飞行时间(TOF)图像传感器基于单光子检测,即SPAD,需要一些滤波像素读数。只有在减轻探测器的抖动,才能精确深度测量。此外,需要有效地与不相关的噪声有效地分离的时间戳,例如暗计数和背景照明。一个强大的工具,用于构建多个像素读数的直方图。未来的TOF成像仪正在寻求增加空间和时间分辨率以及动态范围和帧速率。在这种情况下,为每个像素存储完整直方图变得实际上是不可能的。考虑到直方图所含的大多数信息表示噪声,我们提出了一种高效的方法来存储TOF计算所需的相关数据。该方法利用移位的帧间直方图。如果像素值在最多15位编码,则需要低至比存储完整直方图小的内存小至1.5倍。此外,固定的2(8)字存储器足以处理包含多达2(15)个箱的直方图。在交换中,整体帧率仅减少到一半。提出了该算法的硬件实现。 Matlab仿真和FPGA实现,使用来自Spad摄像机原型的输入数据来证明其TOF估计的低SNR的显着稳健性。

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