To solve the problems that the pixels in the millimeter-wave holographic imaging algorithm have a certain degree of divergence and that the resolution sharpness is not high enough, a Stolt interpolation optimization algorithm is proposed. According to the distance between each data point in the cell and the center, a weighted average value is used for interpolation. Compared with the traditional interpolation algorithm, the algorithm makes each pixel further converge, and the imaging clearer, while the amount of computation will not be greatly changed. Finally, the cross-section simulation experiment proves the effectiveness of the algorithm.