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。
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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