文件名称:Super-resolution
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- 上传时间：2016-05-29
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实现联合字典训练的超分辨率重建算法，通过分别训练高分辨率字典和低分辨率字典-1. The demo code is for upscaling factor of 2. For larger magnification factors, run the function ScSR.m multiple times. Note the code is a little different what presented in the TIP10 paper. Please find the previous codes and results in folder Previous .
2. Two pre-trained dictionaries are provided in directory Dictionary . The dictionaries are for zoom factor of 2. You can train your own dictionary based on function Demo_Dictionary_Training.m talked below.
2. Two pre-trained dictionaries are provided in directory Dictionary . The dictionaries are for zoom factor of 2. You can train your own dictionary based on function Demo_Dictionary_Training.m talked below.
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下载文件列表
Super-resolution/backprojection.m
Super-resolution/compute_rmse.m
Super-resolution/Demo_Dictionary_Training.m
Super-resolution/Demo_SR.m
Super-resolution/extr_lIm_fea.m
Super-resolution/L1QP_FeatureSign_yang.m
Super-resolution/lin_scale.m
Super-resolution/patch_pruning.m
Super-resolution/README.txt
Super-resolution/rnd_smp_patch.m
Super-resolution/sample_patches.m
Super-resolution/ScSR.m
Super-resolution/train_coupled_dict.m
Super-resolution
Super-resolution/compute_rmse.m
Super-resolution/Demo_Dictionary_Training.m
Super-resolution/Demo_SR.m
Super-resolution/extr_lIm_fea.m
Super-resolution/L1QP_FeatureSign_yang.m
Super-resolution/lin_scale.m
Super-resolution/patch_pruning.m
Super-resolution/README.txt
Super-resolution/rnd_smp_patch.m
Super-resolution/sample_patches.m
Super-resolution/ScSR.m
Super-resolution/train_coupled_dict.m
Super-resolution
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