Opt Lett. 2022 Dec 1;47(23):6269-6272. doi: 10.1364/OL.476041.
When a source's focal spot is known, an x ray image can be significantly improved by a deconvolution algorithm with the point spread function (PSF). We propose a simple method to measure the PSF for image restoration using x ray speckle imaging. In this method, the PSF is reconstructed with intensity and total variation constraints from a single x ray speckle of an ordinary diffuser. Compared with the traditional time-consuming measurement with a pinhole camera, the speckle imaging method is fast and easy to execute. When the PSF is available, we use a deconvolution algorithm to reconstruct the sample's radiography image, and the result provides more structural details than the original images.
当知道源焦点时,通过使用点扩散函数(PSF)的反卷积算法可以显著改善 X 射线图像。我们提出了一种使用 X 射线散斑成像进行图像恢复的简单方法来测量 PSF。在该方法中,通过从普通漫射器的单个 X 射线散斑中的强度和全变差约束来重建 PSF。与使用针孔相机进行的传统耗时测量相比,散斑成像方法快速且易于执行。当 PSF 可用时,我们使用反卷积算法来重建样品的射线图像,结果提供了比原始图像更多的结构细节。