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 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。
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