CS KSVDSR\2.jpg
.........\backprojection.m
.........\compute_rmse.m
.........\Data\Testing\00.jpg
.........\....\.......\1.jpg
.........\....\.......\input.jpg
.........\....\.raining\20100418083958_4.jpg
.........\....\........\Thumbs.db
.........\....\........\ygtx13.jpg
.........\....\........\ygtx2.jpg
.........\....\........\ygtx7.jpg
.........\....\........\ygtx9.jpg
.........\demo.asv
.........\demo.m
.........\demo1.asv
.........\demo1.m
.........\Dictionary\D_16_0.15_4.mat
.........\gererateSyntheticDictionaryAndData.m
.........\input.jpg
.........\KSVD.m
.........\L1QP_FeatureSign_yang.m
.........\OMP.m
.........\omp1.m
.........\patch_pruning.m
.........\Q.jpg
.........\rnd_smp_patch.asv
.........\rnd_smp_patch.m
.........\sample_patches.m
.........\sampmat.asv
.........\sampmat.m
.........\SolveLasso.m
.........\Training\rnd_patches_4_10000_s.mat
.........\........\rnd_patches_6_10000_s.mat
.........\........\rnd_patches_8_10000_s.mat
.........\【CS】Novel super resolution Restoration of remote sensing Images Based on CS and example patches-aided dictionary learning.pdf
.........\结果图.doc
.........\Data\Testing
.........\....\Training
.........\Data
.........\Dictionary
.........\Training
CS KSVDSR