鬼成像提供了一种运用常规手段难以获得清晰图像的方法，能够解决一些常规成像技术不易解决的问题，是近些年来量子光学领域的前沿和热点之一。提出了一种基于少量数据预处理的差值筛选鬼成像恢复重建方法。该方法利用闲置光路测得的强度值和桶探测器测得的强度值的差值作为筛选门限，并且只选取少量差值进行预处理而无需对所有差值求平均得到筛选门限。将该方法应用于高阶鬼成像方案，分析高阶差值筛选鬼成像方案的可见度、峰值信噪比和阶数N的关系。研究结果表明，该方案可获得与对应鬼成像性能相当的成像质量，但重建时间明显少于对应鬼成像方案。随着阶数N的增加，成像可见度得到提高；当N足够大时理论上可见度可以接近1。同时可见度的增加将以峰值信噪比为代价，当阶数N由2阶增加到9阶时,图像的峰值信噪比下降了26.3%。

Ghost imaging offers a great potentiality with respect to conventional imaging for obtaining imaging of objects which are located in optically harsh or noisy environment. It can solve the problems which are difficult by conventional techniques. Recently, it has become one of the hot topics in quantum optics. A novel reconstruction algorithm using a small amount of data preprocessing difference is proposed. The sifted idle optical measurements are selected by the difference between the sum of reconstruction algorithm using a small amount of data preprocessing difference. The sifted idle optical measurements are selected by the difference between the sum of charge coupled device (CCD) measurements and bucket detector measurements with a small amount of data preprocessing. The relationship among the visibility, peak signal noise ratio, and the number of high-order are analyzed by using the reconstruction algorithm to the high-order ghost imaging scheme in the high-order ghost imaging system. The numerical simulation results show that the images reconstructed by our algorithm are as good as those from correspondence ghost imaging (CGI) with less construction time and the visibility is gradually improved against the number of order and the visibility is close to 1 if the order of ghost imaging is large enough. At the same time, the improved visibility is at the cost of the quality of images. The peak signal-to-noise rate of the recovered image is reduced by 26.3% when the number of order of ghost imaging increases from 2 to 9.