A 3D image calibration method is proposed to provide a better performance on particular display device. Firstly, the knowledge of stereo image fusion area is adopted to calculate the comfortable horizontal disparity range for different display device. Secondly, the Scale-Invariant Features (SIFT) algorithm is applied to estimate the disparity range in a 3D image, and then a linear mapping between the original disparity and the comfortable disparity for the 3D image are obtained. Finally, the transformational matrix for the linear mapping and disparity correction for the 3D image are got. The experimental results indicate that the proposed algorithm has a good performance, which is adaptive for various disparity problems.