利用空间平移不变性的并行算法加速计算机层析成像光谱仪重建
Accelerating computed tomographic imaging spectrometer reconstruction using a parallel algorithm exploiting spatial shift-invariance
摘要：
计算机断层成像光谱仪（CTIS）实时捕获高光谱图像。然而，后处理图像可能需要巨大的计算资源;因此，将其应用限制在非实时场景中。为了克服这些挑战，我们开发了一个高度并行化的算法，利用空间平移不变性。为了证明我们的新算法的多功能性，我们开发了桌面和嵌入式图形处理单元（GPU）上的实现。据我们所知，我们的结果显示了最快的图像重建时间报告。
英文摘要：
Computed Tomographic Imaging Spectrometers (CTIS) capture hyperspectral images in realtime. However, post processing the imagery can require enormous computational resources; thus, limiting its application to non-realtime scenarios. To overcome these challenges we developed a highly parallelizable algorithm that exploits spatial shift-invariance. To demonstrate the versatility of our new algorithm, we developed implementations on a desktop and an embedded graphics processing unit (GPU). To our knowledge, our results show the fastest image reconstruction times reported.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
