A global imaging method based on the focus stack monomer data subset architecture is proposed, which it can improve the reconstruction accuracy inside the monomer and reduce the reconstruction error caused by the depth jump of the object boundary. First, the Alpha Matting algorithm is used to obtain the boundary information of the object, the focus stack is accurately divided in the (x, y) space according to the boundary information of the object, and the focus stack data is selected in the depth direction to obtain the focus stack monomer subset. Then, according to the focus measure, depth reconstruction and all-focus imaging are performed on the monomer subset, and the calculation result is optimized by the total variation regularization. Finally, the optimized reconstruction results of the monomer subset of the focus stack are globally fused to obtain the depth map and the full focus map of the global scene. Experimental results show that the proposed global imaging based on the focus stack monomer data subset architecture can improve the computational efficiency and the quality of the reconstruction results, and provide an optimized solution for the focus stack computational imaging.