Training samples-optimizing based dictionary learning algorithm for MR sparse superresolution reconstruction
Biomedical Signal Processing and Control(2018)
摘要
•The sparse reconstruction is improved for MR image super-resolution.•The framework of sample-optimized dictionary training is proposed.•The dictionary diversity is measured by Gray-consistency&Gradient jointed method.•The optimal images are selected based on the complexity for dictionary training.
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关键词
Super-resolution imaging,Dictionary diversity,Sparse reconstruction,Magnetic resonance imaging
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