基于单层双树小波变换和平滑零范数法的压缩感知图像重构 |
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引用本文: | 苏立超,黄添强,吴铁浩,袁秀娟.基于单层双树小波变换和平滑零范数法的压缩感知图像重构[J].计算机科学,2013,40(3):263-265. |
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作者姓名: | 苏立超 黄添强 吴铁浩 袁秀娟 |
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作者单位: | (福建师范大学数学与计算机科学学院 福州350007)
(福建师范大学网络安全与密码技术福建省高校重点实验室 福州350007) |
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摘 要: | 基于压缩感知理论,从图像稀疏变换方式和压缩感知恢复算法两方面出发,对原有算法进行改进,提出了基于单层双树小波变换和平滑零范数法(Smoothed-L0)的压缩感知图像重构算法(DTSL0 )。该算法的思想是:对原始图像进行双树实系数小波稀疏变换,并使用Smoothed-L0压缩感知恢复算法予以重构。仿真实验表明:该算法在图像重构质量、执行速度,以及鲁棒性方面均有显著提升。
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关 键 词: | 压缩感知,双树小波变换,图像重构,平滑零范数 |
Image Reconstruction Method Using Smoothed-to and Dual-tree Wavelet Transform |
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Affiliation: | (School of Mathematics and Computer Science,Fujian Normal University,Fuzhou 350007,China)(Key Laboratory oI Network Security and Cryptography,Fujian Normal University,Fuzhou 350007,China) |
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Abstract: | This paper presented a new algorithm for image reconstruction based on smoothed-to and dual-tree wavclet transform to save execution time and increase the quality of reconstruction. The dual-tree wavelet transform was used for image sparse and the Smoothed-Lo algorithm was selected for reconstructing the image. The experiment results show that DTSL0 improves the execution speed and the the quality and robustnesss of the reconstructed image. |
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Keywords: | Compressed sensing Dual-tree wavelet transform Image reconstruction Smoothed-to algorithm |
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