中国电子科技2008，Vol.6Issue(1)：79-82,4.
Bayesian-Based Speckle Suppression for SAR Image Using Contourlet Transform
Bayesian-Based Speckle Suppression for SAR Image Using Contourlet Transform
摘要
Abstract
A novel and efficient speckle noise reduction algorithm based on Bayesian contourlet shrinkage using contourlet transform is proposed. First, we show the sub-band decompositions of SAR images using contourlet transforms, which provides sparse representation at both spatial and directional resolutions. Then, a Bayesian contourlet shrinkage factor is applied to the decomposed data to estimate the best value for noise-free contourlet coefficients. Experimental results show that compared with conventional wavelet despeckling algorithm, the proposed algorithm can achieve an excellent balance between suppresses speckle effectively and preserves image details, and the significant information of original image like textures and contour details is well maintained.关键词
Bayesian shrinkage, contourlet trans form, despeckling, SAR imageKey words
Bayesian shrinkage, contourlet trans form, despeckling, SAR image分类
电子信息工程引用本文复制引用
De-Xiang Zhang,Qing-Wei Gao,Xiao-Pei Wu..Bayesian-Based Speckle Suppression for SAR Image Using Contourlet Transform[J].中国电子科技,2008,6(1):79-82,4.基金项目
This work was supported by the National Nature Science Foundation of China under Grant No. 60603083 and Die Nature Science Foundation of Anhui Province under Grant No. 070412059. （）
