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基于Contourlet变换的图像压缩感知重构

郑万泽 何劲 魏星 颜佳冰 耿晓明

China S&T Journals Issue 14,2007Years
China S&T Journals Issue 14,2007 Issue 15,2008:194-196,3.Authors

基于Contourlet变换的图像压缩感知重构

Image Compressive Sensing Reconstruction Based on Contourlet Transform

郑万泽 1何劲 1魏星 1颜佳冰 1耿晓明2

作者信息

  • 1. 空军工程大学电讯工程学院,西安710077
  • 2. 中国人民解放军93565部队,北京101114
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Abstract

Based on the sparse characteristic of image signal in Contourlet transform domain, the theory of image Contourlet transform is analyzed, and the image Compressive Sensing(CS) reconstruction method is proposed based on the Contourlet transform. Because the basis of Contourlet transform is not orthogonal strictly and can not construct orthogonal matrix, this paper proposes an image reconstruction method which is based on ameliorative gradient projection algorithm to improve the conventional reconstruct algorithm. The image reconstruction method which is based on ameliorative gradient projection algorithm can realize the high quality image reconstructed with low sampling rate. Experimental result shows that the proposed method has good robustness.

关键词

Contourlet变换/图像信号/稀疏特性/图像压缩/压缩感知/梯度投影算法

Key words

Contourlet transform/ image signal/ sparse characteristic/ image compressive/ Compressive Sensing(CS)/ gradient projection algorithm

分类

信息技术与安全科学

引用本文复制引用

郑万泽,何劲,魏星,颜佳冰,耿晓明..基于Contourlet变换的图像压缩感知重构[J].计算机工程,2012,38(12):194-196,3.

基金项目

国家自然科学基金资助项目(60971100) (60971100)

计算机工程

OACSCDCSTPCD

1000-3428

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