SAR Image Despeckling and Enhancement Based on Contourlet Analysis

摘要：

Traditional image enhancement methods amplify noises or introduce visible artifacts when they are applied to noisy images. To effectively solve this problem, a method for SAR image denoising and enhancement based on translation invariance contourlet transform is proposed. The algorithm firstly applying a logarithmic transformation to the SAR image, which makes the multiplicative noise model to an additive one, then we use the invariance Contourlet to form the image representation, and modify the coefficients via a nonlinear mapping function corresponding to the three classes of the coefficients as to enhance the details and meanwhile restrain the speckles. The simulation results show great promise for speckle removal and hence provide good detection performance for SAR based recognition.

关键词： image despeckling enhancement contourlet analysis

作者: CHEN Jie SUN Jiyin CHEN Biao XU Suqin

作者单位: Xian Research Inst. Of Hi-Tech Hongqing Town, Xian, P. R. China Navy Submarine Academy, Qingdao, Shandong Province, China

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）