目前MRI重构算法只利用MRI图像稀疏性表示或只利用基于其局部光滑性的先验知识，重构效果不理想。
The current MRI reconstruction algorithms simply use either the sparse priors or the local smooth priors of MRI image, and result in the inferior reconstruction.
多方向多尺度变换能以更稀疏的方式表示图像的边缘和纹理等几何特征，有利于图像压缩。
The proposed transform could represent the geometrical features such as edges and texture more sparsely, which is of great benefit to image compression.
说明：曲波变换是图像处理领域中稀疏表示最常用的一种字典，其中MCA分解模型中经常用到。
Bo transform the field of image processing is the most common kind of sparse representation dictionary MCA decomposition model which is often used.
方向性小波理论为图像处理提供了一种新的稀疏表示方法，能够更有效地捕捉图像中的几何结构。
The directional wavelet theory provides a novel sparse representation method for image processing, and it can capture geometrical image structures more efficiently.
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.
实验结果表明了这两种稀疏信号表示理论在图像增强方面具有良好的性能和广阔的应用前景。
The experimental results demonstrate the effectiveness of the spare signal expansion in the applications of image enhancement.
实验结果表明了这两种稀疏信号表示理论在图像增强方面具有良好的性能和广阔的应用前景。
The experimental results demonstrate the effectiveness of the spare signal expansion in the applications of image enhancement.
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