计算机科学 ›› 2013, Vol. 40 ›› Issue (3): 263-265.
• 人工智能 • 上一篇 下一篇
苏立超，黄添强，吴铁浩，袁秀娟
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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。
关键词: 压缩感知，双树小波变换，图像重构，平滑零范数
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.
Key words: Compressed sensing,Dual-tree wavelet transform,Image reconstruction,Smoothed-to algorithm
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. https://doi.org/
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