基于多尺度斑点优化的多通道计算鬼影成像

Hong Wang, Xiaoqian Wang, Chao Gao, Yu Wang, Zhuo Yu, Zhihai Yao
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引用次数: 0

摘要

提出了一种基于多尺度斑点优化的多通道计算鬼影成像方法。我们不仅缩短了成像时间,提高了成像质量,还减少了不同通道之间的干扰。利用一个斗形探测器接收总光强,通过对三个自行设计的多尺度测量矩阵进行奇异值分解得到的分量进行组合,形成彩色斑点。仿真和实验结果表明,我们设计的方法有助于缩短成像时间和提高成像质量,即使在低采样率的情况下也能改善视觉质量。这种方法提高了鬼影成像的灵活性,在目标识别和生物医学成像等多种应用中具有潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-channel computational ghost imaging based on multi-scale speckle optimization
A multi-channel computational ghost imaging method based on multi-scale speckle optimization is proposed. We not only reduce imaging time and enhance imaging quality but also reduce interference among different channels. Using one bucket detector to receive total light intensity, the color speckle is formed by combining components obtained through the singular value decomposition of three self-designed multi-scale measurement matrices. Simulation and experimental results demonstrate that our designed method contributes to reducing imaging time and enhancing imaging quality, achieving improved visual quality even at low sampling rates. This approach enhances ghost imaging flexibility and holds potential for diverse applications, including target recognition and biomedical imaging.
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