The full-field optical coherence tomography (FF-OCT) is one of the best technologies to study the morphological development of the early embryo, while its images suffer from some noises. Due to the noises, the boundaries between the different organizations in the early embryo are ambiguous, which would cause interference of organization segmentation. To solve this problem, this paper processed full-field OCT images of early embryos with the median filter, wiener filter and anisotropic diffusion algorithm, and evaluated the noise reduction effect using the signal-to-noise ratio, the mean square error, peak signal to noise ratio and edge retention index. It was shown that early embryo images after noise reduction with anisotropic diffusion algorithm kept most of the original information with relatively clear boundaries. Therefore, anisotropic diffusion algorithm is suggested to be the best denoising method for FF-OCT imaging in terms of the visual effect.