摘要： 从SAR图像斑点噪声特性和Contourlet变换系数的统计特点出发，将Contourlet变换与二元收缩去噪模型相结合，提出一种新的基于Contourlet变换的SAR图像去噪方法。对于高分辨率SAR 图像，该算法能更有效地去除SAR图像上的斑点噪声。
关键词:
Contourlet变换,
二元收缩,
SAR图像,
去噪
Abstract: Based on the property of SAR image speckle noise and Contourlet property of capturing the intrinsic geometrical structure of image, a method of SAR image denoising based on Contourlet domain adaptive BivaShrink model is presented combining Contourlet transform with BivaShrink denoising model. Experimental results show the method achieves better performance at speckle reduction.
Key words:
Contourlet transform,
bivariate shrinkage,
SAR image,
de-noising
中图分类号:
杨庆, 韦志辉, 黄陈蓉. 基于Contourlet域的SAR图像去噪算法[J]. 计算机工程, 2010, 36(21): 236-238.
YANG Qiang, HUI Zhi-Hui, HUANG Chen-Rong. SAR Image De-noising Algorithm Based on Contourlet Domain[J]. Computer Engineering, 2010, 36(21): 236-238.