基于二维DCT的鬼成像高效目标重构

Efficient Object Reconstruction in Ghost Imaging Based on Two-Dimensional Discrete Cosine Transform

为提高计算鬼成像过程的整体效率和成像质量,提出应用图像处理中准最优变换的离散余弦变换——DCT(Discrete Cosine Transform),实现对目标物体在低采样率下的鬼成像高质量图像重构。通过二维DCT矩阵作为鬼成像探测矩阵,用简单乘法实现目标物体二维变换,将图像的低频信息集中在桶探测值矩阵左上角区域。仿真和实验结果表明,基于二维DCT鬼成像目标重构较一维DCT和Hadamard变换,目标重构质量更高,需要快速成像时只要12.5%的采样率就基本可以恢复目标。该方法实现对目标物体在低采样率下的鬼成像高质量目标重构,便于鬼成像推广和实用化。

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.