提高重构质量一直是关联成像的研究重点。将联合双边滤波嵌入到投影Landweber迭代算法之中并进行关联成像重构。这种方法能够通过联合双边滤波有效地去除投影Landweber迭代算法中间结果的噪声,从而提高投影Landweber迭代算法的重构质量。数值仿真和实验结果表明,所提算法能有效地重构出目标的强度像。通过与常用的关联成像重构算法进行定量和定性的比较,发现所提算法具有更高的重构质量。同时分析了背景噪声和测量次数对重构质量的影响,证明了背景噪声的减小和测量次数的增大会提高所提算法的重构质量。

The improvement in reconstruction quality has always been the research focus of ghost imaging. A joint bilateral filter is embedded in the projected Landweber iterative algorithm, which is used for reconstruction in ghost imaging. This method can effectively remove the noises in the intermediate results of the projected Landweber iterative algorithm using the joint bilateral filter, and the reconstruction quality of the projected Landweber iterative algorithm is thus improved. The numerical simulation and the experimental results show that the proposed algorithm can effectively reconstruct the intensity image of the target. The proposed algorithm has higher reconstruction quality, if compared with the common ghost imaging reconstruction algorithms. At the same time, the influences of background noise and number of measurements on reconstruction quality are analyzed, and it is proved that the reduction of background noise and the increase of number of measurements improve the reconstruction quality of the proposed algorithm.