基于改进哈达玛图案的抗散射介质计算鬼成像
Anti-scattering medium computational ghost imaging with modified Hadamard patterns
AI总结：
本文提出一种基于二维高斯滤波与哈达玛差分特性的改进哈达玛图案重建方法（MHCGI），在无需后处理的情况下直接获得无边缘模糊的降噪结果，并仅需预设近似标准差，从而增强计算鬼成像在散射介质中的鲁棒性。
摘要：
计算鬼成像（CGI）系统的照明图案在穿过散射介质时会遭受对比度下降，导致重建结果中的有效信息被噪声淹没。二维（2D）高斯滤波器对整幅图像执行线性平滑操作以实现图像去噪。它可以与CGI的线性重建算法结合，直接获得降噪结果，无需后处理。然而，它在去噪的同时会导致图像边缘模糊，此外，合适的标准差难以预先选择，尤其是在未知散射环境中。在这项工作中，我们巧妙地利用CGI的特性很好地解决了这两个问题。我们开发了一种基于二维高斯滤波器和基于哈达玛的CGI差分运算特性的改进哈达玛图案。我们分析并证明，使用哈达玛图案进行照明但使用我们开发的改进哈达玛图案进行重建（MHCGI）可以增强CGI对浑浊散射介质的鲁棒性。我们的方法不仅有助于直接获得无模糊边缘的降噪结果，而且只需要一个近似的标准差，即可以预先设定。在透射目标和反射目标上的实验结果证明了我们方法的可行性。我们的方法有助于推动CGI在散射环境中的实际应用。
英文摘要：
Illumination patterns of computational ghost imaging (CGI) systems suffer from reduced contrast when passing through a scattering medium, which causes the effective information in the reconstruction result to be drowned out by noise. A two-dimensional (2D) Gaussian filter performs linear smoothing operation on the whole image for image denoising. It can be combined with linear reconstruction algorithms of CGI to obtain the noise-reduced results directly, without post-processing. However, it results in blurred image edges while performing denoising and, in addition, a suitable standard deviation is difficult to choose in advance, especially in an unknown scattering environment. In this work, we subtly exploit the characteristics of CGI to solve these two problems very well. A kind of modified Hadamard pattern based on the 2D Gaussian filter and the differential operation features of Hadamard-based CGI is developed. We analyze and demonstrate that using Hadamard patterns for illumination but using our developed modified Hadamard patterns for reconstruction (MHCGI) can enhance the robustness of CGI against turbid scattering medium. Our method not only helps directly obtain noise-reduced results without blurred edges but also requires only an approximate standard deviation, i.e., it can be set in advance. The experimental results on transmitted and reflected targets demonstrate the feasibility of our method. Our method helps to promote the practical application of CGI in the scattering environment.
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