中文摘要：

提出并讨论了一种基于Bandelet变换的图像压缩传感算法。该算法可自适应跟踪图像的正则方向,提高对图像的稀疏表示能力,进而提高重构后的图像质量。对一幅图像在不同测试矩阵下利用小波法、DCT法和Bandelet法压缩传感算法进行图像重建仿真,仿真结果表明,该算法具备更为出色的图像还原质量和更优的PSNR。

英文摘要：

Compressed Sensing（CS） can reduce the cost to measure a signal by using its characteristic as sparse in wavelet domain.So CS can break the limit of Nyquist sampling rate.For overcoming the shortage of orthogonal wavelet bases which has poor directional selectivity and week ability to capture the image edge,Image Compressed sensing based on Bandelet transform domain is proposed.The Bandelet algorithm can track the regular direction of image adaptively to improve image sparse ability.,thereby improving the quality of reconstruction image.Experiment results show that the proposed algorithm protects image details and improves the peak signal-to-noise ratio and visual quality.