Abstract #1789

Image Super-resolution Restoration based on Structure Feature in Fourier Domain for MR Images

Lijun Bao¹

¹Department of Electronic Science, Xiamen University, Xiamen, China, People's Republic of

In the learning based single image super-resolution restoration, the high frequency information is enhanced by retrieving the high-frequency information from the high resolution training samples. Therefore how to reveal the underlying relations between the HR and the LR patch spaces is the key issue. In this work, we propose to cluster the pre-collected HR example patches to generate subdictionary and select the proper subdictionary for any image patch according to the frequency spectrum feature in Fourier domain, because the Fourier spectrogram can reflect the feature complexity, local directionality and the texture periodicity of the image patch simultaneously.

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