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.

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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.

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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.

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