Adaptive compressed imaging method based on quantum correlation

In the process of quantum correlation imaging, the use of a fixed sampling mode will affect the imaging efficiency and image reconstruction quality of quantum correlation imaging, and different sampling matrices will have different effects on the imaging results. Aiming at the above problems, this paper proposes an adaptive compressed imaging method based on quantum correlation (ACI). The Digtial Micromirror Devices (DMD) specific sampling mode is designed by distinguishing the different texture details of the image, and the reference light is compressed and sampled by different sampling matrices. Finally, the reference light and the signal light are matched and counted and brought into the reconstruction algorithm to obtain the target image. The experimental results show that the method effectively shortens the imaging time and improves the imaging quality. At the same time, the Toeplitz matrix in the sampling matrix has the best effect. Therefore, this method can make good use of image texture features to improve the quality of quantum correlation imaging while reducing imaging time.