Abstract: In order to improve the overall efficiency and imaging quality of ghost imaging，the DCT (Discrete
Cosine Transform) which is the quasi-optimal transform in image processing is applied to reconstruct ghost
imaging images with high quality under low sampling rate． The two-dimensional DCT matrix is used as the ghost
imaging detection matrix，and the two-dimensional transformation of the target object is realized by simple
multiplication． The low-frequency information of the image is concentrated in the upper left corner of the bucket
detection value matrix． Simulation and experimental results show that the reconstruction of ghost imaging objects
based on two-dimensional DCT is of higher quality than that based on one-dimensional DCT and Hadamard
transformation． When rapid imaging is needed，only 12． 5% sampling rate is needed to basically restore the
target． This method can reconstruct high quality ghost imaging objects with low sampling rate． It is convenient for
ghost imaging generalization and application．

Key words:  , communication and information systems (CIS), ghost imaging, discrete cosine transform (DCT), efficient goal reconstruction