Entangled optical quantum imaging method based on adaptive block compressed sampling

Abstract

In the process of entangled optical quantum imaging, the Digital Micromirror Device (DMD) sampling mode affects imaging efficiency, and in the process of image sparse reconstruction, the use of a fixed sampling matrix affects the quality of image reconstruction. In this circumstance, this paper proposes an entangled optical quantum imaging method based on Adaptive Block Compressed Sampling with Two-Dimensional Information Entropy (ABCS-2DIE), which measures the texture details of the image through the two-dimensional information entropy of the image, adaptively allocates the sampling rate for each image block according to the texture distribution of the image, and designs the corresponding sampling matrix to sparsely sample the reference light. In addition, coincidence counting between the reference and signal light is considered in the reconstruction algorithm to obtain the target image. Experimental results show that compared with the Overall Compressive Sampling (OCS) method, the proposed method greatly shortens the imaging time and significantly improves the imaging quality. Besides, compared with the Fixed Block Compressed Sampling (FBCS) method, the image obtained by the proposed method has obvious improvement in visual effect, and the corresponding Peak Signal-to-Noise Ratio (PSNR) is improved by 2–4 dB with a slight increase in computation complexity. In all, the proposed method can make good use of the texture features of the image, effectively improving the quality of quantum imaging while reducing the imaging time.