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.