论文标题
使用时间划分多路复用的快速本地化和移动对象的单像素成像
Fast localization and single-pixel imaging of the moving object using time-division multiplexing
论文作者
论文摘要
成像移动对象时，单像素成像会产生运动模糊。本文提出了一种新的单像素成像方法，该方法可以实现快速移动对象的抗动感模糊成像。几何矩模式和哈达姆模式用于交替编码对象的位置信息和对象的图像信息，并使用时间划分多路复用。在重建过程中，对象位置信息是独立提取的，并结合了运动补偿重建算法，以使对象运动从图像信息中解脱出来。结果，获得了抗动感模糊图像和高帧速率对象位置。实验结果表明，对于具有成像系统的角速度最高为0.5 rad/s的移动对象，该方法的定位频率达到了5.55kHz，并逐渐以512x512的伪分辨率重建了快速移动对象的清晰图像。该方法在快速移动对象的单像素成像中具有应用潜在客户。
When imaging moving objects, single-pixel imaging produces motion blur. This paper proposes a new single-pixel imaging method, which can achieve anti-motion blur imaging of a fast-moving object. The geometric moment patterns and Hadamard patterns are used to alternately encode the position information and the image information of the object with time-division multiplexing. In the reconstruction process, the object position information is extracted independently and combining motion-compensation reconstruction algorithm to decouple the object motion from image information. As a result, the anti-motion blur image and the high frame rate object positions are obtained. Experimental results show that for a moving object with an angular velocity of up to 0.5rad/s relative to the imaging system, the proposed method achieves a localization frequency of 5.55kHz, and gradually reconstructs a clear image of the fast-moving object with a pseudo resolution of 512x512. The method has application prospects in single-pixel imaging of the fast-moving object.
