论文标题
Hadamard单金成像中的细节增强的采样策略
A detail-enhanced sampling strategy in Hadamard single-pixel imaging
论文作者
论文摘要
Hadamard单像素成像（HSI）是一种吸引人的成像技术，因为其硬件复杂性和工业成本低。为了提高成像效率，许多研究集中在分类哈摩斑模式上，以获取很少的样品的可靠重建图像。在这项研究中，我们提出了一种有效的HSI成像方法，该方法采用指数概率函数来沿着沿方向进行样品hadamard光谱，以更好的能量浓度获得Hadamard模式。我们还提出了一个XY订单，以在保留原始性能的同时，通过非常快速的Hadamard订单生成非常快速的订单来进一步优化模式选择方法。我们将压缩传感算法用于图像重建。模拟和实验结果表明，这些模式选择方法可靠地重建对象并保留图像的边缘和细节。
Hadamard single-pixel imaging (HSI) is an appealing imaging technique due to its features of low hardware complexity and industrial cost. To improve imaging efficiency, many studies have focused on sorting Hadamard patterns to obtain reliable reconstructed images with very few samples. In this study, we present an efficient HSI imaging method that employs an exponential probability function to sample Hadamard spectra along a direction with better energy concentration for obtaining Hadamard patterns. We also propose an XY order to further optimize the pattern-selection method with extremely fast Hadamard order generation while retaining the original performance. We used the compressed sensing algorithm for image reconstruction. The simulation and experimental results show that these pattern-selection method reliably reconstructs objects and preserves the edge and details of images.
