Megapixel X-ray ghost imaging with a binned detector in the object arm
Haipeng Zhang, Ke Li, Feixiang Wang, Hong Yu, Changzhe Zhao, Guohao Du, Zhong‐Liang Li, Biao Deng, Honglan Xie, Shensheng Han, Tiqiao Xiao
Abstract
At present, reconstruction of megapixel and high-fidelity images with few measurements is a major challenge for X-ray ghost imaging (XGI). The available strategies require massive measurements and reconstruct low-fidelity images of less than 300 300 pixels. Inspired by the concept of synthetic aperture radar, synthetic aperture XGI (SAXGI) integrated with compressive sensing is proposed to solve this problem with a binned detector in the object arm. Experimental results demonstrated that SAXGI can accurately reconstruct the 1200 1200 pixels image of a binary sample of tangled strands of tungsten fiber from 660 measurements. Accordingly, SAXGI is a promising solution for the practical application of XGI.