Journal of Systems Engineering and Electronics ›› 2012, Vol. 34 ›› Issue (1): 204-207.doi: 10.3969/j.issn.1001-506X.2012.01.37

• 软件、算法与仿真 • 上一篇    下一篇


基于多重稀疏表示的声纳图像超分辨率重建方法

王梁, 郝燕玲, 张振兴   

  1. 哈尔滨工程大学自动化学院, 黑龙江 哈尔滨 150001
  • 出版日期:2012-01-13 发布日期:2010-01-03

Superresolution reconstruction method for sonar image based on multi-layer sparse representation

WANG Liang, HAO Yanling, ZHANG Zhenxing   

  1. College of Automation, Harbin Engineering University, Harbin 150001, China
  • Online:2012-01-13 Published:2010-01-03

摘要:

提出一种基于多重稀疏表示的声纳图像超分辨率重建方法。该方法针对声纳图像的光滑、边缘和纹理3种结构形态,分别利用离散平稳小波变换、contourlet小波变换和Gabor小波变换建立过完备字典,并对多重稀疏表示的声纳图像进行超分辨率重建。实验结果表明,该方法得到的超分辨率图像能够有效保持原始高分辨率图像的几何特征和纹理特征,可以得到更高的峰值信噪比,并且对噪声具有鲁棒性。

Abstract:

A super resolution reconstruction method for sonar image based on multi layer sparse representation is proposed. As for the smooth, edge and texture of the sonar image, the discrete wavelet transform, the contourlet wavelet transform and the Gabor wavelet transform are used to establish the over complete dictionary  respectively. Then the multi-layer sparse represented sonar image is reconstructed in super resolution. Experimental results show that the super resolution images can maintain the geometric features and texture features of original high resolution images effectively. Moreover, the proposed method is robust to noises and can achieve a higher peak signal to noise ratio compared with other methods.