Edge Detection, Spatial Smoothing, and Image Reconstruction With Partially Observed Multivariate Data
部分观测多元数据的边缘检测、空间平滑与图像重建
Situations with incomplete multivariate spatial data on a lattice are considered. The goal is to impute the missing data in the presence of edges or boundaries and recover the image. Two methods based on Bayesian hierarchical models that iterate between edge detection and spatial smoothing to impute the missing data within identified homogeneous regions are examined. Their performance is compared with another method that imputes the missing values using edge-preserving…