计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (13): 178-180.

• 图形、图像、模式识别 • 上一篇    下一篇

基于改进轮廓波变换的SAR图像增强

王 蕊1,龙 奕2   

  1. 1.西南交通大学峨眉校区 计算机与通信工程系,四川 峨眉 614202
    2.贵州大学 电气工程学院,贵阳 510003
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-05-01 发布日期:2011-05-01

SAR image enhancement based on improved contourlet transform

WANG Rui1,LONG Yi2   

  1. 1.Department of Computer and Communication Engineering,South West Jiaotong University,E’mei,Sichuan 614202,China
    2.School of Electrical Engineering,Guizhou University,Guiyang 510003,China

  • Received:1900-01-01 Revised:1900-01-01 Online:2011-05-01 Published:2011-05-01

摘要: 针对轮廓波变换(contourlet transform)中进行拉普拉斯金字塔分解时,所得的带通图像在奇异性点附近产生振荡,影响图像去噪的效果,提出一种改进的轮廓波变换。通过改进拉普拉斯金字塔分解,可消除轮廓波变换带通图像边缘附近的震荡。提出了基于改进轮廓波变换的SAR图像增强算法。实验结果表明,该算法在有效抑制SAR图像噪声的同时,较好地保持了图像边缘细节。

关键词: 合成孔径雷达(SAR)图像, 轮廓波变换, 拉普拉斯金字塔, 图像增强

Abstract: In the contourlet transform,the image obtained by Laplacian Pyramid decomposition may produce artifacts on singularity of signal,which is harmful to image denoising.Due to the lack,the improved contourlet transform which is composed of the improved Laplacian Pyramid(LP) decomposition is proposed,and the improved Laplacian Pyramid can effectively suppress the artifacts around the edge of the subband image obtained by contourlet transform.At the same time,SAR image enhancement algorithm based on improved contourlet transform is presented.Experiment results show that the algorithm is superior not only in speckle reduction but also in edge preservation.

Key words: Synthetic Aperture Radar(SAR) image, contourlet transform, Laplacian Pyramid(LP), image enhancement