...科学版、英文版） 关键字: 图像压缩感知; 先验分布; 广义拉普拉斯分布; 非凸优化[gap=1196]Key words: image compressed sensing; prior distribution; generalized Laplacian distribution; nonconvex optimization..
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The current image compressed sensing algorithms can reconstruct the original image using the sparse prior of image from far fewer measurements than the Nyquist samples.
目前在压缩传感重构算法中利用图像的可稀疏性表示先验知识，从比奈奎斯特采样少得多的观测值中恢复原始图像。
The reconstruction of MRI based on compressed sensing is able to recover the original image from the fewer projections using the sparse priors of image.
基于压缩传感的MRI图像重构利用图像稀疏的先验知识能从很少的投影值重构原图像。
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