Compressed Sensing Image Reconstruction Based on Discrete Shearlet Transform
نویسنده
چکیده
The two-dimensional wavelet transform for magnetic resonance imaging (MRI) images does not sparsely represent curve singularity characteristics, which can only capture the limited direction information. Pointing at this problem, this paper presents a new method based on discrete Shearlet transform for compressed sensing MRI (CS-MRI). Frequency coefficients can be got at all scales and in all directions after performing discrete shearlet transform to MRI image. Then adopting orthogonal matching pursuit algorithm to recover the sparsing coefficients. Finally, the reconstructed image is getting by inverse shearlet transform. Experimental results show that, compared with wavelet transform, discrete shearlet transform for CS-MRI improves quality of reconstructed image and preserves more information about texture and edge. Copyright © 2014 IFSA Publishing, S. L.
منابع مشابه
MRI image reconstruction research based on discrete shearlet transform
The two-dimensional wavelet transform for magnetic resonance imaging (MRI) does not represent sparsely curve singularity characteristics, it can only capture the limited direction information. In order to solve this problem, a new method for compressed sensing MRI (CS-MRI) is presented based on discrete shearlet transform in this paper. Frequency coefficients can be got at all scales and in all...
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