results: 方法可以同时具有短的重建时间和高质量图像，并且可以实现对小物体的佳化追踪和边缘检测。Abstract
The tracking and imaging of high-speed moving objects hold significant promise for application in various fields. Single-pixel imaging enables the progressive capture of a fast-moving translational object through motion compensation. However, achieving a balance between a short reconstruction time and a good image quality is challenging. In this study, we present a approach that simultaneously incorporates position encoding and spatial information encoding through the Fourier patterns. The utilization of Fourier patterns with specific spatial frequencies ensures robust and accurate object localization. By exploiting the properties of the Fourier transform, our method achieves a remarkable reduction in time complexity and memory consumption while significantly enhancing image quality. Furthermore, we introduce an optimized sampling strategy specifically tailored for small moving objects, significantly reducing the required dwell time for imaging. The proposed method provides a practical solution for the real-time tracking, imaging and edge detection of translational objects, underscoring its considerable potential for diverse applications.
摘要
高速移动物体的跟踪和成像具有广泛的应用前景。单像素成像可以逐步捕捉fast-moving translational object，通过运动补偿来实现。但是，实现一个好的图像质量和重建时间短的 equilibrio却是挑战。在这种研究中，我们提出了一种方法，同时 incorporates position encoding和空间信息编码通过干扰Patterns。通过利用干扰transform的特性，我们的方法可以remarkably reduce时间复杂度和内存占用，同时显著提高图像质量。此外，我们还提出了专门为小 objetes introduce an optimized sampling strategy, significantly reducing the required dwell time for imaging.该方法提供了一个实用的解决方案，可以实时跟踪、成像和Edge detection of translational objects，强调其广泛的应用前景。