针对传统鬼成像对比度差、信噪比低的问题，提出了一种基于频域分解的融合鬼成像方法.该方法将参考光路中获得的散斑图进行频域变换，选取合适的阈值将其分解为高频散斑和低频散斑，通过分别对高低频散斑与桶探测器得到的值进行关联运算得到高低频鬼像，最后利用逆非下采样剪切波变换重构出最终的鬼像.以对比度和峰值信噪比为评价指标，通过4组实验仿真验证了融合鬼成像方法的有效性.仿真实验结果表明，融合鬼成像的峰值信噪比/对比度较计算鬼成像、差分鬼成像方法分别平均提高了41%/173%、27%/135%.

Aiming at the problems of poor contrast and low signal-to-noise ratio of traditional ghost imaging, a fusion ghost imaging method based on frequency domain decomposition is proposed. This method transforms the speckle pattern obtained in the reference path to the frequency domain, selected an appropriate threshold to decompose it into high-frequency speckle and low-frequency speckle, and performs correlation calculation between the high-frequency speckle and the value obtained by the bucket detector to get high and low ghost image, and finally the inverse non-subsampled shearlet transtransform is used to reconstruct the final ghost image. By using PSNR and contrast as the evaluation index, the effectiveness of the fusion ghost imaging method was verified by 4 sets of experimental simulations. The simulation experiment results show that the PSNR/contrast of the fusion ghost imaging is improved by 41%/173% and 27%/135% on average compared with the computational ghost imaging and differential ghost imaging methods.