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ScSR
- Jianchao Yang的经典图像超分辨率程序-Classic image super-resolution process of professor Yang
ScSR
- Jianchao Yang 的基于稀疏表示的单幅图像重建的原始代码，先将高低训练图像分块，再将块训练成高低字典，将测试图像映射到低字典上，得到系数，再乘以高子典就得到最后的图像。对学习超分辨率同学的参考作用很大。-This is the original matlab code for super resolution by Jianchao Yang 。The method is sparse represent based on the overcomplete dictionary。
ScSR
- 基于学习单幅图像超分辨率重建算法源代码。-based on the singal picture super resolution founding
ScSR
- 基于稀疏的图像超分辨率 Yang Jianchao于2010年发表的，含程序-Image super-resolution via sparse representation
Super-resolution
- 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 p
ScSR
- 杨建超的将稀疏表达用于图像超分辨率重建的文章赋代码(Example matlab code for the algorithm proposed in "Image super-resolution via sparse representation" TIP 2010.)