Global computing imaging method based on focusing stack monomer data subset architecture

The invention discloses a global computing imaging method based on a focusing stack monomer data subset architecture. The method comprises the following steps: 1, finding out a scene image with the maximum focusing measure from scene image focusing stack data; 2, dividing area images corresponding to all single areas in the scene image; 3, finding out a single body region on the single body regionimage of the scene image with the maximum focusing measure; 4, finding out the focusing stack data of the jth monomer by utilizing the monomer region; 5, selecting a representative region in the monomer region, and screening out V scene images from the I scene images of the focusing stack data of the jth monomer to obtain a vth image of the jth monomer and a focusing stack monomer data subset; 6,carrying out depth reconstruction and full-focus imaging on the single body; 7, optimizing local consistency; 8, carrying out global fusion. According to the method, the calculation efficiency of focus stack reconstruction ca