The New Vacuum Solar Telescope (NVST) has been affected by thin film interference since its operation, which makes interference fringes superimposed on its sun chromosphere data products. These fringes have a serious impact on the quantitative analysis and high-resolution reconstruction of solar fine structure observation. Although some methods have been adopted to remove the interference fringes in NVST chromosphere data, most of them are performed on high-resolution reconstructed data, and little for short-exposure data (speckle images). The short-exposure data are the raw data of the NVST observation. If the fringes on the data can be eliminated or weakened, the quality of subsequent high-resolution reconstructed data will be improved. Therefore, this paper proposed a method to remove the interference fringes in short-exposure data based on Non-Subsampled Contourlet Transform (NSCT) and Principal Component Analysis (PCA). First, NSCT multi-scale decomposition is utilized to divide the data into fringe-containing scales and fringe-free scales, and then the fringes are removed by PCA in fringe-containing scales. Experiments show that the interference fringes in the data can be removed effectively while preserving the solar structures of NVST data.

新真空太阳望远镜（NVST）自运行以来一直受到薄膜干扰的影响，这使得干涉条纹叠加在其太阳色球数据产品上。这些条纹严重影响了太阳精细结构观测的定量分析和高分辨率重建。尽管已采用某些方法来消除NVST色球数据中的干涉条纹，但大多数方法是对高分辨率的重建数据执行的，而对于短曝光数据（斑点图像）则很少。短时曝光数据是NVST观测的原始数据。如果可以消除或减弱数据上的条纹，则可以提高后续高分辨率重建数据的质量。因此，本文提出了一种基于非二次采样Contourlet变换（NSCT）和主成分分析（PCA）的消除短曝光数据中干扰条纹的方法。首先，利用NSCT多尺度分解将数据分为含条纹的鳞片和无条纹的鳞片，然后用PCA去除含条纹的鳞片中的条纹。实验表明，在保留NVST数据的太阳结构的同时，可以有效去除数据中的干扰条纹。