Abstract:A novel MRF model called SPMRF (Structure Preserving MRF) is proposed for Bayesian despeckling of SAR images. In SPMRF every pixel within a neighborhood is associated with a weighting parameter which determines its contribution to the central pixel’s despeckling. And a temperature variable is introduced into SPMRF to control the weighting parameters’ estimating process which makes the model match with images’ local characteristics better. Experiments show as a prior model SPMRF can retain image structures efficiently with despeckling progressing.
宋 珩; 王世唏; 计科峰; 郁文贤. 基于结构保持MRF模型的SAR图像去斑[J]. 电子与信息学报, 2009, 31(3): 745-748 .
Song Heng; Wang Shi-xi; Ji Ke-feng;Yu Wen-xian. A Novel MRF Model for Structure Preservation in SAR Image Despeckling. , 2009, 31(3): 745-748 .