介绍了白光干涉系统噪声来源及其对白光干涉图像的影响; 扫描白光干涉过程中既引入了时间噪声, 又引入了空间噪声, 使干涉数据的噪声呈复杂的时空分布; 只对干涉数据进行单分量的传统去噪方法无法完全去除噪声, 且会造成图像数据的畸变; 利用三维噪声理论分析了白光干涉系统的噪声特性, 并对干涉数据进行时间和空间分量的噪声处理, 在去除噪声的同时, 又避免了原始数据发生时空畸变; 为了实现实时处理, 设计了相应的基于图形处理器(Graphic Processing Unit, GPU)的并行算法, 解决了三维去噪与重建耗时严重的问题。

Noise sources of white-light interference system and their influence on the interferograms are introduced. The noise in white-light interferometer is complicated because it contains both the temporal and spatial component, which will seriously affect the quality of interferograms and as a result, and reduce the measurement accuracy. Traditional denoising methods based on single component processing are unable to completely remove the noise and cause the distortion of interferometric data. Using the three-dimensional noise model, three-dimensional characteristic of noise in white-light interference system is analyzed. Experiments show that the three-dimensional denoising method can move the temporal and spatial component of noise without causing the distortion of original data. In order to solve the problem of serious time consumption from three-dimensional denoising and reconstruction, corresponding parallel algorithm based on Graphic Processing Unit (GPU) is designed, which can easily realize the real-time reconstruction.