Convolutional Sparse Coding for Compressed Sensing CT Reconstruction
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DOI: 10.1109/tmi.2019.2906853
Abstract: Over the past few years, dictionary learning (DL)-based methods have been successfully used in various image reconstruction problems. However, the traditional DL-based computed tomography (CT) reconstruction methods are patch-based and ignore the consistency of pixels… read more here.
Keywords: reconstruction; coding compressed; proposed methods; sparse coding ... See more keywords