A method for automatic convergence of stereoscopic images is provided that includes receiving a stereoscopic image, generating a disparity map comprising a plurality of blocks for the stereoscopic image, clustering the plurality of blocks into a plurality of clusters based on disparities of the blocks, selecting a cluster of the plurality of clusters with a smallest disparity as a foreground cluster, determining a first shift amount and a first shift direction and a second shift amount and a second shift direction based on the smallest disparity, and shifting a left image in the stereoscopic image in the first shift direction by the first shift amount and a right image in the stereoscopic image in the second shift direction by the second shift amount, wherein the smallest disparity is reduced.