利用全息图获取光场相位信息是数字全息术的重要应用之一，其间通常必须进行降噪处理。在光场相位的空间变化频率较高时，传统降噪算法容易产生条纹断裂和细节丢失，引入剪切干涉原理可显著克服这些问题，但选用何种算法最有效还未做专门的研究。对剪切后的光场分别使用中值滤波和小波降噪两种算法的降噪效果作了比较，给出了相关的理论分析，并完成了模拟计算和实验验证，结果证明小波降噪算法的降噪效果最好。

It is one of the most important applications in holography to use hologram to obtain the phase information, and noise reduction is necessary in the process. The conventional denoising algorithms often cause fringe breaks and loss of phase detail when the phase of optical filed has high spatial variation frequency, these problems can be reduced significantly through introducing shearing interferometry, but it has not been researched which denoising algorithm will get the best denoising result. Shearing median filter algorithm is compared with shearing wavelet denoising gorithm, which presents corresponding theoretical analysis, fulfills simulated calculation and experimental verification, and proves that the denoising result of wavelet denoising algorithm is the best.