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February 19, 2024Physics in Medicine and Biology4 citations

Spectrum learning for super-resolution tomographic reconstruction

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ZLZirong LiKAKang AnHYHengyong Yu

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Abstract

. Computed Tomography (CT) has been widely used in industrial high-resolution non-destructive testing. However, it is difficult to obtain high-resolution images for large-scale objects due to their physical limitations. The objective is to develop an improved super-resolution technique that preserves small structures and details while efficiently capturing high-frequency information.

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Cite This Study

Li et al. (2024) studied this question.

synapsesocial.com/papers/68e78968b6db6435876fbf52https://doi.org/10.1088/1361-6560/ad2a94
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