Based on the main structural features are approximated between the collected low-granularity data and the high-granularity ideal one, we propose that the dictionary pairs trained by low-granularity data and high-granularity have the same sparse coefficient, and the sparse coefficients of the data are combined with a high-granularity dictionary to recover high-granularity data.
Figure 1. low- and high-granularity dictionary
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