Multi-channel data acquisition using multiplexed imaging with spatial encoding.
Multi-channel data acquisition using multiplexed imaging with spatial encoding.
复制标题
使用具有空间编码的多路成像的多通道数据采集。
DOI：
10.1364/oe.18.023041
复制
发表时间：
2010
期刊：
影响因子：
3.8
通讯作者：
J. Tanida
中科院分区：
文献类型：
--
作者：
R. Horisaki;J. Tanida
本文描述了一个通用的理论框架，多路复用的空间编码成像系统，以获取多通道数据。该框架与模拟和实验演示证实。在该系统中，与对象相关联的每个通道被空间编码，并且所得到的信号被复用到检测器阵列上。在解复用过程中，利用稀疏约束的数值估计算法解决欠定重构问题。该系统可以获取元素数量大于捕获数据的元素数量的对象数据。这种情况包括通过具有探测器阵列的单次激发进行多通道数据采集。在实验中，宽视场成像和光谱成像证明与稀疏的目标。一种压缩感知算法，称为两步迭代收缩/阈值算法与总变分，适用于对象重建。
This paper describes a generalized theoretical framework for a multiplexed spatially encoded imaging system to acquire multi-channel data. The framework is confirmed with simulations and experimental demonstrations. In the system, each channel associated with the object is spatially encoded, and the resultant signals are multiplexed onto a detector array. In the demultiplexing process, a numerical estimation algorithm with a sparsity constraint is used to solve the underdetermined reconstruction problem. The system can acquire object data in which the number of elements is larger than that of the captured data. This case includes multi-channel data acquisition by a single-shot with a detector array. In the experiments, wide field-of-view imaging and spectral imaging were demonstrated with sparse objects. A compressive sensing algorithm, called the two-step iterative shrinkage/thresholding algorithm with total variation, was adapted for object reconstruction.