Research on the Quality of Computational Ghost Imaging by Filtering
By greatly simplifying the dual-rail system in traditional ghost imaging technology ,Computational ghost imaging only requires a single bucket detector without spatial resolution capabilities to reconstruct the target image. This approach not only reduces imaging costs but also enables imaging in specific spectral bands. However ,the issues of large sampling quantity and poor imaging quality remain significant challenges. To address the problem of poor imaging quality ,this paper investigates the impact of filtering on the reconstruction quality of computational ghost imaging through theoretical analysis and numerical simulations. Furthermore ,the signal-to-noise ratios of reconstructed images under different scattering condi-tions are compared ,which greatly contributes to the practical application of computational ghost imaging.
万方数据
维普
